Triple
T34666640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TKPN |
E890274
|
entity |
| Predicate | isCodeForRunwayOperationsAt |
P179588
|
FINISHED |
| Object | Vance W. Amory International Airport |
—
|
NE NERFINISHED |
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: Vance W. Amory International Airport | Statement: [TKPN, isCodeForRunwayOperationsAt, Vance W. Amory International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCodeForRunwayOperationsAt Context triple: [TKPN, isCodeForRunwayOperationsAt, Vance W. Amory International Airport]
-
A.
hasRunwayOperations
Indicates that an entity conducts or is involved in operational activities on an airport runway, such as takeoffs, landings, or related ground movements.
-
B.
isInstrumentRunway
Indicates that a runway is designated and equipped for instrument-based approaches and departures rather than solely visual operations.
-
C.
isRunwayOf
Indicates that a physical runway is a component or facility belonging to, used by, or officially associated with a particular airport or airfield.
-
D.
hasRunwayApproachType
Indicates the specific type or category of approach procedure associated with a runway.
-
E.
isPrimaryRunwayOf
Indicates that a runway serves as the main or principal runway for a particular airport or airfield.
- F. None of above. chosen
Provenance (4 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f722f81fc48190bed78b48e86e15e2 |
completed | May 3, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_69f72157af108190880317a62e634bb0 |
completed | May 3, 2026, 10:20 a.m. |
| PDg | Predicate description generation | batch_69f7221bc57c819085c1464a45e61b2f |
completed | May 3, 2026, 10:23 a.m. |
Created at: May 1, 2026, 2:05 a.m.