Triple
T748677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Williams College |
E15397
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Williamstown |
E89108
|
NE FINISHED |
How this triple was built (2 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: Williamstown | Statement: [Williams College, city, Williamstown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamstown Context triple: [Williams College, city, Williamstown]
-
A.
Williamstown, Massachusetts
chosen
Williamstown, Massachusetts is a small New England town best known as the home of Williams College and for its scenic location in the Berkshire Mountains.
-
B.
Newport
Newport is a leading menthol cigarette brand in the United States, known for its strong market presence and association with menthol-flavored tobacco products.
-
C.
Newport
Newport is a major city in South Wales known as an important industrial and port center on the River Usk.
-
D.
Newport
Newport is the principal town and administrative center of the Isle of Wight, located near the middle of the island in southern England.
-
E.
Lunenburg
Lunenburg is a small town in north-central Massachusetts known for its residential character and proximity to commuter rail service into the Boston area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a62f31888190b80cb0a7220f8d80 |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac82e8bd788190a20a580bae9bd94e |
completed | March 7, 2026, 7:56 p.m. |
Created at: March 1, 2026, 7:37 p.m.