Triple
T2732825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Scotland |
E60353
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Newburgh
Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
|
E308369
|
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: Newburgh | Statement: [Eastern Scotland, hasTown, Newburgh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Newburgh Context triple: [Eastern Scotland, hasTown, Newburgh]
-
A.
Newburgh
Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
-
B.
Newburgh, New York
Newburgh, New York is a historic city in the Hudson Valley known for its waterfront along the Hudson River and its significant role in early American history.
-
C.
Central Falls
Central Falls is a small, densely populated city in northern Rhode Island known for its diverse, working-class community and industrial history.
-
D.
Fair Haven
Fair Haven is a historic, traditionally working-class waterfront neighborhood in eastern New Haven, Connecticut, known for its diverse community and maritime roots along the Quinnipiac River.
-
E.
Paterson
Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
- 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: Newburgh Triple: [Eastern Scotland, hasTown, Newburgh]
Generated description
Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Newburgh Target entity description: Newburgh is a small historic town in eastern Scotland known for its scenic setting on the River Tay and its traditional Scottish character.
-
A.
Newburgh
Newburgh is a small rural village in Lancashire, England, known for its historic buildings and scenic countryside setting.
-
B.
Newburgh, New York
Newburgh, New York is a historic city in the Hudson Valley known for its waterfront along the Hudson River and its significant role in early American history.
-
C.
Central Falls
Central Falls is a small, densely populated city in northern Rhode Island known for its diverse, working-class community and industrial history.
-
D.
Fair Haven
Fair Haven is a historic, traditionally working-class waterfront neighborhood in eastern New Haven, Connecticut, known for its diverse community and maritime roots along the Quinnipiac River.
-
E.
Paterson
Paterson is an Australian federal electoral division in New South Wales, represented in the national Parliament.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaf175808190acbbb3873c7c3f67 |
completed | March 7, 2026, 7:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0311b05088190baa21a31cebec736 |
completed | March 10, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69b034ec1d508190ba885f68240589b2 |
completed | March 10, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b03c7c00508190834726dcdcc43511 |
completed | March 10, 2026, 3:45 p.m. |
Created at: March 6, 2026, 9:56 p.m.