Triple
T35269677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palakkad Junction |
E1018629
|
entity |
| Predicate | nearbyBusStation |
P197713
|
FINISHED |
| Object | Palakkad KSRTC bus station |
—
|
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: Palakkad KSRTC bus station | Statement: [Palakkad Junction, nearbyBusStation, Palakkad KSRTC bus station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyBusStation Context triple: [Palakkad Junction, nearbyBusStation, Palakkad KSRTC bus station]
-
A.
nearbyMajorStation
Indicates that one location is situated close to a major transportation station (such as a main train, bus, or metro hub).
-
B.
nearbyHeritageStation
Indicates that one entity is located close to a heritage (historically or culturally significant) station.
-
C.
nearestMajorTransportHub
Indicates that one location is the closest significant transportation center (such as a major train station, airport, or bus terminal) to another location.
-
D.
operatorOfNearbyTransit
Indicates that an entity operates or manages a public transit service located in close geographic proximity to another specified entity.
-
E.
nearbyLRTStation
Indicates that there is an LRT (light rail transit) station located close to the referenced place or entity.
- 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_69f76de5c4788190896ad598ae7d6bc6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fea2d0a4d08190aa06aeb902a02d5a |
completed | May 9, 2026, 2:58 a.m. |
| PD | Predicate disambiguation | batch_69fea24698348190b9b992a8e7cdbcd0 |
completed | May 9, 2026, 2:56 a.m. |
| PDg | Predicate description generation | batch_69fea2cfcd648190a15e5b90889095b1 |
completed | May 9, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4:02 p.m.