Triple
T3022784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keystone Service (select trains) |
E82501
|
entity |
| Predicate | stopPatternAtNewBrunswick |
P44688
|
FINISHED |
| Object | only select trains stop |
—
|
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: only select trains stop | Statement: [Keystone Service (select trains), stopPatternAtNewBrunswick, only select trains stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stopPatternAtNewBrunswick Context triple: [Keystone Service (select trains), stopPatternAtNewBrunswick, only select trains stop]
-
A.
northernTerminusState
Indicates that a location or route has its northern endpoint or terminus within the specified state.
-
B.
northernShore
Indicates that one entity is located on the northern shore or northern side of another entity, typically a body of water or coastline.
-
C.
easternTerminusState
Indicates the state in which the eastern terminus (end point) of something, such as a route or line, is located.
-
D.
terminusCanada
Indicates that something serves as an endpoint, destination, or terminal location within or specifically for Canada.
-
E.
laterProvince
Indicates that one administrative region or province succeeds another in time, coming into existence or effect after the other.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a963034819093d96566e9b0cea9 |
completed | March 8, 2026, 3:49 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3 p.m.