Triple
T1002282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles B. Wheeler Downtown Airport |
E21629
|
entity |
| Predicate | hasFixedBaseOperator |
P22187
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Charles B. Wheeler Downtown Airport, hasFixedBaseOperator, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFixedBaseOperator Context triple: [Charles B. Wheeler Downtown Airport, hasFixedBaseOperator, true]
-
A.
operatesBase
Indicates that an organization or agent runs or manages a primary facility, location, or base of operations.
-
B.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
-
C.
operatedAs
Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
-
D.
hasOperatorContractStart
Indicates the date on which an operator’s contractual agreement with another entity begins.
-
E.
isMajorBaseIn
Indicates that a location serves as a primary or central base of operations within a specified area or organization.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fcbc04819098d2125518f62ae7 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b1f4f88190822598cfd2a0fd2b |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b36064a48190b85c402f32cbadd1 |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.