Triple
T22057238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ORK |
E545050
|
entity |
| Predicate | associatedRunwayCount |
P19671
|
FINISHED |
| Object | multiple runways |
—
|
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: multiple runways | Statement: [ORK, associatedRunwayCount, multiple runways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedRunwayCount Context triple: [ORK, associatedRunwayCount, multiple runways]
-
A.
numberOfRunways
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
B.
hasParallelRunway
Indicates that one runway is parallel in orientation and alignment to another runway.
-
C.
hasRunwayCount
chosen
Indicates the number of runways that a given entity (such as an airport) possesses.
-
D.
isSingleRunwayForAirport
Indicates that a runway is the only (single) runway serving a particular airport.
-
E.
associatedWithRunways
Indicates a relationship where something (such as an object, facility, or feature) is linked or connected to one or more runways.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128588e0081909056ac8251afe935 |
completed | April 28, 2026, 9:36 p.m. |
| PD | Predicate disambiguation | batch_69e6f643ca74819083e8ab78e843f243 |
completed | April 21, 2026, 4 a.m. |
Created at: April 16, 2026, 8:27 p.m.