Triple
T34805565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathura Junction |
E1003343
|
entity |
| Predicate | nearestMajorStationFor |
P99506
|
FINISHED |
| Object | Mathura city |
—
|
NE NERFINISHED |
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: Mathura city | Statement: [Mathura Junction, nearestMajorStationFor, Mathura city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorStationFor Context triple: [Mathura Junction, nearestMajorStationFor, Mathura city]
-
A.
nearestEntranceStation
Indicates that one station is the closest entrance station to a given location or entity compared to all other candidate stations.
-
B.
nearestMajorTransportHub
chosen
Indicates that one location is the closest significant transportation center (such as a major train station, airport, or bus terminal) to another location.
-
C.
nearestPassengerRailStation
Indicates that one entity is the closest passenger rail station in distance to another entity.
-
D.
nearestUndergroundStation
Indicates the relationship where a specific underground (subway/metro) station is the closest one in distance to a given location or entity.
-
E.
nearestSuburbanRailwayStation
Indicates the relationship where a given place is associated with the suburban railway station that is geographically closest to it.
- 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_69f76db600b88190989abdf08fce3b27 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77a8e286481909852ed240c92b4aa |
completed | May 3, 2026, 4:40 p.m. |
| PD | Predicate disambiguation | batch_69f7795b1abc8190823664d1caa94649 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.