Triple
T34895621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | air transport via Caucayá Airport |
E1006425
|
entity |
| Predicate | operatesFromRunwaySurface |
P422
|
FINISHED |
| Object | asphalt |
—
|
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: asphalt | Statement: [air transport via Caucayá Airport, operatesFromRunwaySurface, asphalt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesFromRunwaySurface Context triple: [air transport via Caucayá Airport, operatesFromRunwaySurface, asphalt]
-
A.
runwaySurface
chosen
Indicates the type or condition of the surface material that a runway is made of or covered with.
-
B.
isCodeForRunwayOperationsAt
Indicates that a given code designates or is used to identify runway operations at a specific location or airport.
-
C.
runwayPerformance
Indicates the performance characteristics or behavior of an entity (such as an aircraft or vehicle) when operating on a runway, including factors like acceleration, deceleration, and required distances.
-
D.
runwayLength
Indicates the length of a runway associated with an airport or airfield.
-
E.
hasRunwayOperations
Indicates that an entity conducts or is involved in operational activities on an airport runway, such as takeoffs, landings, or related ground movements.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01185c46f0819089b4a2ad3c3e2f33 |
completed | May 10, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_6a0117e19e008190870663dd45084416 |
completed | May 10, 2026, 11:42 p.m. |
Created at: May 3, 2026, 4 p.m.