Triple
T28862721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Trompillo Airport |
E728906
|
entity |
| Predicate | hasMainRunwayOrientation |
P6272
|
FINISHED |
| Object | 150°/330° |
—
|
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: 150°/330° | Statement: [El Trompillo Airport, hasMainRunwayOrientation, 150°/330°]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainRunwayOrientation Context triple: [El Trompillo Airport, hasMainRunwayOrientation, 150°/330°]
-
A.
hasRunwayOrientation
chosen
Indicates that a runway is aligned or oriented in a specific directional heading.
-
B.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
C.
hasSinglePrimaryRunway
Indicates that an airport or airfield possesses exactly one main runway used as its primary operational runway.
-
D.
hasOppositeRunway
Indicates that one runway is paired with another runway that has the opposite or reciprocal orientation or designation.
-
E.
isSingleRunwayForAirport
Indicates that a runway is the only (single) runway serving a particular airport.
- 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 28, 2026, 6:47 a.m.