Triple
T34687832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agonda Beach |
E890798
|
entity |
| Predicate | closestMajorRailwayStation |
P82238
|
FINISHED |
| Object | Madgaon Junction |
—
|
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: Madgaon Junction | Statement: [Agonda Beach, closestMajorRailwayStation, Madgaon Junction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestMajorRailwayStation Context triple: [Agonda Beach, closestMajorRailwayStation, Madgaon Junction]
-
A.
nearestPassengerRailStation
Indicates that one entity is the closest passenger rail station in distance to another entity.
-
B.
nearestRailwayTerminus
Indicates that one location is the closest railway terminus to another specified place.
-
C.
nearestMajorRailwayJunction
chosen
Indicates the closest significant railway junction in terms of distance from a given location or entity.
-
D.
nearbyMajorStation
Indicates that one location is situated close to a major transportation station (such as a main train, bus, or metro hub).
-
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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 1, 2026, 2:05 a.m.