Triple
T3508920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange, New Jersey |
E74147
|
entity |
| Predicate | hasRailStation |
P726
|
FINISHED |
| Object | Orange station |
E294827
|
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: Orange station | Statement: [Orange, New Jersey, hasRailStation, Orange station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orange station Context triple: [Orange, New Jersey, hasRailStation, Orange station]
-
A.
Orange station
chosen
Orange station is a historic commuter rail station in Orange, New Jersey, served by NJ Transit trains on the Morris & Essex Lines.
-
B.
Ayer station
Ayer station is a commuter rail stop in Ayer, Massachusetts that serves as a local transit hub on the MBTA Fitchburg Line.
-
C.
Austin station
Austin station is a Chicago Transit Authority rapid transit stop on the Green Line located in the Austin neighborhood on the city's West Side.
-
D.
Stadium Station
Stadium Station is a light rail station in Seattle’s SoDo neighborhood that primarily serves the nearby sports stadiums and industrial area.
-
E.
Andrew station
Andrew station is a rapid transit station in South Boston serving the Massachusetts Bay Transportation Authority's Red 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc0cc394819087a9b598023f4f93 |
completed | March 8, 2026, 6:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373e3cd808190807d4acae2942a9d |
completed | March 13, 2026, 2:18 a.m. |
Created at: March 8, 2026, 3:18 p.m.