Triple
T28561992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Nido Airport |
E722570
|
entity |
| Predicate | distanceFromTownProper |
P200374
|
FINISHED |
| Object | about 4 kilometers |
—
|
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 4 kilometers | Statement: [El Nido Airport, distanceFromTownProper, about 4 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromTownProper Context triple: [El Nido Airport, distanceFromTownProper, about 4 kilometers]
-
A.
approximateDistanceFromTownCentre
chosen
Indicates the estimated spatial distance between a given location and the center of a town.
-
B.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
C.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
D.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
E.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
- 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_69f01a5f69d08190ad5c0d2167078dec |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_6a001cc0ff588190bb7c8a6fd427d02b |
completed | May 10, 2026, 5:50 a.m. |
| PD | Predicate disambiguation | batch_6a001b3ea18c8190aeda7a32b2697490 |
completed | May 10, 2026, 5:44 a.m. |
Created at: April 28, 2026, 4:05 a.m.