Triple
T3870213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCSE |
E91965
|
entity |
| Predicate | associatedAirportElevation |
P45909
|
FINISHED |
| Object | 481 metres |
—
|
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: 481 metres | Statement: [SCSE, associatedAirportElevation, 481 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportElevation Context triple: [SCSE, associatedAirportElevation, 481 metres]
-
A.
airportElevationFeet
Indicates the elevation of an airport above sea level, measured in feet.
-
B.
airportElevationUnit
Indicates the unit of measurement used to express the elevation of an airport.
-
C.
elevationApproxMeters
chosen
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
D.
countryAltitudeCharacteristic
Indicates a characteristic relationship specifying the typical or notable altitude or elevation associated with a country.
-
E.
elevationBy
Indicates a relationship where one entity raises, increases, or enhances the level, status, or intensity of another entity.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec533828819080f52dae15fdbecd |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:20 p.m.