Triple
T3753096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bronxville, New York |
E81377
|
entity |
| Predicate | primaryTransportationModeForCommuters |
P28705
|
FINISHED |
| Object | commuter rail |
—
|
LITERAL 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: commuter rail | Statement: [Bronxville, New York, primaryTransportationModeForCommuters, commuter rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTransportationModeForCommuters Context triple: [Bronxville, New York, primaryTransportationModeForCommuters, commuter rail]
-
A.
passesUsedForTransportation
Indicates that the passes are utilized as a means or instrument for transporting people or goods.
-
B.
publicTransitMode
chosen
Indicates the type of public transportation (e.g., bus, train, subway) used or associated with a given trip or segment.
-
C.
primaryTransportModel
Indicates that one transport model is designated as the main or default model used for a given context or entity.
-
D.
transportModeFamily
Indicates the general category or family of transportation mode to which a specific transport mode belongs (e.g., road, rail, air, water).
-
E.
hasPublicTransitMode
Indicates that a location, route, or service is associated with or supports a specific mode of public transportation (e.g., bus, train, tram).
- F. None of above.
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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb9340e0819083215989718b4598 |
completed | March 8, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69adc04adebc819088d7f36d0ac343a6 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.