Triple
T3792140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tewksbury, Massachusetts |
E89676
|
entity |
| Predicate | hasHistoricSite |
P1098
|
FINISHED |
| Object |
Tewksbury Hospital Historic District
Tewksbury Hospital Historic District is a historic medical campus in Tewksbury, Massachusetts, known for its 19th- and early 20th-century institutional architecture and its role in the history of public health and social welfare in the state.
|
E389413
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tewksbury Hospital Historic District | Statement: [Tewksbury, Massachusetts, hasHistoricSite, Tewksbury Hospital Historic District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tewksbury Hospital Historic District Context triple: [Tewksbury, Massachusetts, hasHistoricSite, Tewksbury Hospital Historic District]
-
A.
Billerica Mills Historic District
Billerica Mills Historic District is a historic industrial area in Billerica, Massachusetts, known for its 19th-century mill buildings and role in the region’s early textile manufacturing.
-
B.
Woburn Center Historic District
Woburn Center Historic District is a central area of Woburn, Massachusetts, known for its concentration of historically and architecturally significant buildings that reflect the city’s development over time.
-
C.
Nashua Downtown Historic District
Nashua Downtown Historic District is a central area of Nashua, New Hampshire, recognized for its concentration of historically significant commercial and civic buildings that reflect the city’s 19th- and early 20th-century development.
-
D.
Shrewsbury Historic District
Shrewsbury Historic District is a nationally recognized historic area in Shrewsbury, Massachusetts, noted for its well-preserved 18th- and 19th-century architecture and its reflection of the town’s early residential and civic development.
-
E.
Chelmsford Center Historic District
Chelmsford Center Historic District is a historically significant area in the heart of Chelmsford, Massachusetts, known for its preserved 18th- and 19th-century architecture and traditional New England town center layout.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tewksbury Hospital Historic District Triple: [Tewksbury, Massachusetts, hasHistoricSite, Tewksbury Hospital Historic District]
Generated description
Tewksbury Hospital Historic District is a historic medical campus in Tewksbury, Massachusetts, known for its 19th- and early 20th-century institutional architecture and its role in the history of public health and social welfare in the state.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tewksbury Hospital Historic District Target entity description: Tewksbury Hospital Historic District is a historic medical campus in Tewksbury, Massachusetts, known for its 19th- and early 20th-century institutional architecture and its role in the history of public health and social welfare in the state.
-
A.
Billerica Mills Historic District
Billerica Mills Historic District is a historic industrial area in Billerica, Massachusetts, known for its 19th-century mill buildings and role in the region’s early textile manufacturing.
-
B.
Woburn Center Historic District
Woburn Center Historic District is a central area of Woburn, Massachusetts, known for its concentration of historically and architecturally significant buildings that reflect the city’s development over time.
-
C.
Nashua Downtown Historic District
Nashua Downtown Historic District is a central area of Nashua, New Hampshire, recognized for its concentration of historically significant commercial and civic buildings that reflect the city’s 19th- and early 20th-century development.
-
D.
Shrewsbury Historic District
Shrewsbury Historic District is a nationally recognized historic area in Shrewsbury, Massachusetts, noted for its well-preserved 18th- and 19th-century architecture and its reflection of the town’s early residential and civic development.
-
E.
Chelmsford Center Historic District
Chelmsford Center Historic District is a historically significant area in the heart of Chelmsford, Massachusetts, known for its preserved 18th- and 19th-century architecture and traditional New England town center layout.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee769d68081908dcdd3d232dbb61c |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f058f03881909aded87e7a74849f |
completed | March 14, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69b4f2ed663c8190be431c7aae60259e |
completed | March 14, 2026, 5:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4f72eba988190acb96b44fc8b7c30 |
completed | March 14, 2026, 5:50 a.m. |
Created at: March 9, 2026, 3:15 p.m.