Triple
T1360657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southeastern Massachusetts |
E29090
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Rockland
Rockland is a small suburban town in Plymouth County, Massachusetts, known for its residential character and proximity to Boston.
|
E188157
|
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: Rockland | Statement: [Southeastern Massachusetts, containsTown, Rockland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rockland Context triple: [Southeastern Massachusetts, containsTown, Rockland]
-
A.
Cape Ann
Cape Ann is a rocky peninsula on the northeastern coast of Massachusetts known for its historic fishing communities, maritime heritage, and scenic New England coastline.
-
B.
Levant, Maine
Levant, Maine is a small rural town located in Penobscot County in central Maine, known for its agricultural character and close proximity to the city of Bangor.
-
C.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
D.
Yarmouth
Yarmouth is a small historic port town and popular tourist destination on the western side of the Isle of Wight in England.
-
E.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
- 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: Rockland Triple: [Southeastern Massachusetts, containsTown, Rockland]
Generated description
Rockland is a small suburban town in Plymouth County, Massachusetts, known for its residential character and proximity to Boston.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rockland Target entity description: Rockland is a small suburban town in Plymouth County, Massachusetts, known for its residential character and proximity to Boston.
-
A.
Cape Ann
Cape Ann is a rocky peninsula on the northeastern coast of Massachusetts known for its historic fishing communities, maritime heritage, and scenic New England coastline.
-
B.
Levant, Maine
Levant, Maine is a small rural town located in Penobscot County in central Maine, known for its agricultural character and close proximity to the city of Bangor.
-
C.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
D.
Yarmouth
Yarmouth is a small historic port town and popular tourist destination on the western side of the Isle of Wight in England.
-
E.
Wereham
Wereham is a small rural village in Norfolk, England, known for its historic church and traditional village green.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b156b081909c99ada70a969fc0 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad67ff7fe481908e1705ba8be84f3a |
completed | March 8, 2026, 12:13 p.m. |
| NEDg | Description generation | batch_69ad6918ebd4819085cd74c172e5c72e |
completed | March 8, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad697d0edc8190b94e61b57f0c65ee |
completed | March 8, 2026, 12:20 p.m. |
Created at: March 1, 2026, 7:56 p.m.