Triple
T13168252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bageshwar |
E312908
|
entity |
| Predicate | regionalCityDistance |
P60767
|
FINISHED |
| Object | approximately 150 km from Nainital |
—
|
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: approximately 150 km from Nainital | Statement: [Bageshwar, regionalCityDistance, approximately 150 km from Nainital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalCityDistance Context triple: [Bageshwar, regionalCityDistance, approximately 150 km from Nainital]
-
A.
distanceBetweenHomeCities
Indicates the measured spatial distance separating the home cities of two entities.
-
B.
distanceFromCapital
Indicates the measured distance between a given location and the capital city of its corresponding region or country.
-
C.
regionCapitalDistanceRelation
Indicates a relationship specifying the distance between a region and its capital.
-
D.
distanceFromMajorPopulationCenters
Indicates the physical distance between a location and the nearest major population centers.
-
E.
distanceFromMajorCity
chosen
Indicates the measured distance between a given location and a specified major city.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc2c0c88190be357811aa8e828d |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:13 p.m.