Triple
T10909359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEQM |
E257652
|
entity |
| Predicate | airportElevationCategory |
P424
|
FINISHED |
| Object | high-altitude airport |
—
|
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: high-altitude airport | Statement: [SEQM, airportElevationCategory, high-altitude airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airportElevationCategory Context triple: [SEQM, airportElevationCategory, high-altitude airport]
-
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.
hasAirportClassification
chosen
Indicates that an airport is assigned a specific classification or category based on defined criteria.
-
D.
aircraftHeight
Indicates the vertical distance or altitude of an aircraft relative to a reference level (such as ground or sea level).
-
E.
isCivilAirport
Indicates that an airport is designated and used primarily for civilian (non-military) aviation operations.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77068e5488190bbc881ebf51d6b2e |
completed | April 9, 2026, 9:24 a.m. |
| PD | Predicate disambiguation | batch_69d70d3d69e08190bb369e9a7927142c |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.