Triple
T7181783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chappaqua, New York |
E167463
|
entity |
| Predicate | commuterRailTravelTimeToManhattan |
P75872
|
FINISHED |
| Object | about 50 minutes to Grand Central Terminal |
—
|
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: about 50 minutes to Grand Central Terminal | Statement: [Chappaqua, New York, commuterRailTravelTimeToManhattan, about 50 minutes to Grand Central Terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commuterRailTravelTimeToManhattan Context triple: [Chappaqua, New York, commuterRailTravelTimeToManhattan, about 50 minutes to Grand Central Terminal]
-
A.
drivingTimeFromNewYorkCity
Indicates the amount of time it takes to drive from New York City to a specified location.
-
B.
distanceFromGrandCentral
Indicates the spatial distance between a given entity and Grand Central.
-
C.
commuterRailMode
Indicates that the relationship involves travel or transportation specifically by commuter rail as the mode of transit between the related entities.
-
D.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
-
E.
manhattanTrunkLine
Indicates a primary or central route, pathway, or connection running through a dense or core area, analogous to a main trunk line in Manhattan.
- F. None of above. chosen
Provenance (4 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e9aeb1b08190ace6f978387c89aa |
completed | March 27, 2026, 8:33 p.m. |
Created at: March 27, 2026, 2:49 p.m.