Triple
T1273491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beacon, New York |
E15760
|
entity |
| Predicate | hasRailService |
P782
|
FINISHED |
| Object | Beacon station |
E15760
|
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: Beacon station | Statement: [Beacon, New York, hasRailService, Beacon station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beacon station Context triple: [Beacon, New York, hasRailService, Beacon station]
-
A.
Beacon
chosen
Beacon is a small Hudson River city in New York State known for its vibrant arts scene, historic industrial roots, and the contemporary art museum Dia Beacon.
-
B.
Wilson station
Wilson station is a Toronto Transit Commission subway station on Line 1 Yonge–University in North York, serving the surrounding residential, commercial, and industrial areas.
-
C.
Akard station
Akard station is a Dallas Area Rapid Transit (DART) light rail station serving the central business district of downtown Dallas, Texas.
-
D.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
-
E.
Shirley station
Shirley station is a commuter rail stop in Shirley, Massachusetts, serving passengers on the MBTA Fitchburg Line.
- 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06d73608190be87be49c4367072 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f49a98819083dacff7e76ad195 |
completed | March 7, 2026, 10:13 p.m. |
Created at: March 1, 2026, 7:50 p.m.