Triple
T25561560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pakyong Airport |
E640724
|
entity |
| Predicate | distanceToGangtok |
P182812
|
FINISHED |
| Object | about 30 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 30 kilometres | Statement: [Pakyong Airport, distanceToGangtok, about 30 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGangtok Context triple: [Pakyong Airport, distanceToGangtok, about 30 kilometres]
-
A.
distanceToDharamshala
Indicates the spatial distance between a given entity and the location of Dharamshala.
-
B.
distanceToSrinagar_km
Indicates the physical distance, measured in kilometers, between a given place or entity and the city of Srinagar.
-
C.
distanceToDehradun
Indicates the spatial distance between an entity’s location and the city of Dehradun.
-
D.
distanceFromShimla_km
Indicates the physical distance, measured in kilometers, between a given place and Shimla.
-
E.
distanceFromKullu
Indicates the spatial distance measured from the reference location Kullu to another 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_69e75dc1beb08190bac7d76b8d6e7bc4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f794f24e588190965e39b77534d53f |
completed | May 3, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69f791033d288190b118029fe412b9c9 |
completed | May 3, 2026, 6:16 p.m. |
| PDg | Predicate description generation | batch_69f791cad5e08190a8a04ca283dbecaa |
completed | May 3, 2026, 6:19 p.m. |
Created at: April 21, 2026, 3:46 p.m.