Triple
T35572403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kudal railway station |
E1027974
|
entity |
| Predicate | nearbyDistrictHeadquarters |
P44325
|
FINISHED |
| Object | Oros (Sindhudurg district headquarters) |
—
|
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: Oros (Sindhudurg district headquarters) | Statement: [Kudal railway station, nearbyDistrictHeadquarters, Oros (Sindhudurg district headquarters)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearbyDistrictHeadquarters Context triple: [Kudal railway station, nearbyDistrictHeadquarters, Oros (Sindhudurg district headquarters)]
-
A.
nearestDistrictHeadquarters
Indicates that one location is the closest district headquarters to another specified place.
-
B.
districtHeadquarterWithin
Indicates that the administrative headquarters of a district is located within the boundaries of a specified area or entity.
-
C.
locatedNearGovernmentDistrict
Indicates that one entity is situated close to or in the immediate vicinity of a government district.
-
D.
nearHeadquartersOf
chosen
Indicates that one entity is located geographically close to the headquarters of another entity.
-
E.
districtHeadquartersLocation
Indicates the place where the administrative headquarters of a district is located.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fec4cffed08190b5e5e7cc0c87493e |
completed | May 9, 2026, 5:23 a.m. |
| PD | Predicate disambiguation | batch_69fec2ea7fe08190bd751b39515f69d1 |
completed | May 9, 2026, 5:15 a.m. |
Created at: May 3, 2026, 4:04 p.m.