Triple
T3870216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCSE |
E91965
|
entity |
| Predicate | associatedAirportRunwayLength |
P6291
|
FINISHED |
| Object | 1938 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: 1938 metres | Statement: [SCSE, associatedAirportRunwayLength, 1938 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAirportRunwayLength Context triple: [SCSE, associatedAirportRunwayLength, 1938 metres]
-
A.
runwayLength
chosen
Indicates the length of a runway associated with an airport or airfield.
-
B.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
C.
hasLongestRunwayIn
Indicates that an entity possesses the runway of greatest length within a specified location or region.
-
D.
numberOfRunways
Indicates the quantity of runways associated with a given entity, such as an airport or airfield.
-
E.
runwayWidth
Indicates the measured width of a runway as a spatial dimension.
- 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.