Triple
T13025350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haldwani |
E326289
|
entity |
| Predicate | distanceToPantnagarAirport |
P107522
|
FINISHED |
| Object | about 28 kilometres |
—
|
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: about 28 kilometres | Statement: [Haldwani, distanceToPantnagarAirport, about 28 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPantnagarAirport Context triple: [Haldwani, distanceToPantnagarAirport, about 28 kilometres]
-
A.
distanceToSrinagar_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Srinagar.
-
B.
distanceToDharamshala
Indicates the spatial distance between a given entity and the location of Dharamshala.
-
C.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
-
D.
distanceToDehradun
Indicates the spatial distance between an entity’s location and the city of Dehradun.
-
E.
distanceToJammu
Indicates the spatial distance between a given entity or location and the place Jammu.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efac71881908a21d70c3c6ce099 |
completed | April 10, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:53 p.m.