Triple
T629143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany County |
E15886
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | City of Albany |
E5470
|
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: City of Albany | Statement: [Albany County, namedAfter, City of Albany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Albany Context triple: [Albany County, namedAfter, City of Albany]
-
A.
Albany
chosen
Albany is the capital city of the U.S. state of New York, known as a historic political and cultural center in the northeastern United States.
-
B.
Canton
Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
-
C.
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.
-
D.
City of Hamilton
The City of Hamilton is the capital of Bermuda, serving as its primary commercial and political center.
-
E.
Pelham
Pelham is the first name of P. G. Wodehouse, the celebrated English humorist and author known for his Jeeves and Wooster stories.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e5b5a308190a62165f9275e2f5f |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4d84d8819095afbf0ee9c7bd82 |
completed | March 2, 2026, 10:54 a.m. |
Created at: March 1, 2026, 7:35 p.m.