Triple
T32862342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KCEF |
E840548
|
entity |
| Predicate | hasLongestRunwayInRegion |
P46125
|
FINISHED |
| Object | one of the longest runways in New England |
—
|
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: one of the longest runways in New England | Statement: [KCEF, hasLongestRunwayInRegion, one of the longest runways in New England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongestRunwayInRegion Context triple: [KCEF, hasLongestRunwayInRegion, one of the longest runways in New England]
-
A.
hasLongestRunwayIn
chosen
Indicates that an entity possesses the runway of greatest length within a specified location or region.
-
B.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
-
C.
hasRunwaysAt
Indicates that a location or facility possesses one or more runways situated at that place.
-
D.
runwayLength
Indicates the length of a runway associated with an airport or airfield.
-
E.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: May 1, 2026, 1:17 a.m.