Triple
T9204620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin, New York |
E220938
|
entity |
| Predicate | railStation |
P918
|
FINISHED |
| Object | Baldwin station |
E198388
|
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: Baldwin station | Statement: [Baldwin, New York, railStation, Baldwin station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baldwin station Context triple: [Baldwin, New York, railStation, Baldwin station]
-
A.
Baldwin station
chosen
Baldwin station is a Long Island Rail Road commuter rail stop located in the hamlet of Baldwin in Nassau County, New York.
-
B.
Briarwood station
Briarwood station is a New York City Subway station in Queens serving the IND Queens Boulevard Line.
-
C.
Woodlawn station
Woodlawn station is a light rail stop on Charlotte's LYNX Blue Line serving the Woodlawn area with access to nearby commercial and residential destinations.
-
D.
Bayside Station
Bayside Station is a monorail stop on Tokyo Disney Resort’s Disney Resort Line serving nearby hotels and resort facilities.
-
E.
Belmont station
Belmont station is a major Chicago Transit Authority 'L' station on the North Side that serves as a key transfer point between multiple rapid transit lines.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd945f37881909f0d30eeb6a7a3ad |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09b96f0e88190bd80594fe3f769b8 |
completed | April 4, 2026, 5:03 a.m. |
Created at: March 30, 2026, 7:26 p.m.