Triple
T29439872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kopitnari Airport |
E746680
|
entity |
| Predicate | distanceToCityKilometers |
P144927
|
FINISHED |
| Object | about 14 |
—
|
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 14 | Statement: [Kopitnari Airport, distanceToCityKilometers, about 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToCityKilometers Context triple: [Kopitnari Airport, distanceToCityKilometers, about 14]
-
A.
distanceFromRegionalCapital
Indicates the measured spatial distance between a given place and its corresponding regional capital.
-
B.
distanceFromNearestSettlementKilometers
chosen
Indicates the distance, measured in kilometers, from an entity’s location to the closest human settlement.
-
C.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
D.
administrativeCenterDistance
Indicates the distance between an entity and the administrative center that governs or represents it.
-
E.
distanceToProvinceCapital_km
Indicates the distance, measured in kilometers, between a given location and the capital city of its province.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a008d6085508190a71c52cd028a6297 |
completed | May 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a008ced31448190b8fc60bf87b40647 |
completed | May 10, 2026, 1:49 p.m. |
Created at: April 28, 2026, 3:21 p.m.