Triple
T24046070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Madsen Airport |
E595521
|
entity |
| Predicate | hasChallengingOperations |
P154656
|
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: [Tom Madsen Airport, hasChallengingOperations, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChallengingOperations Context triple: [Tom Madsen Airport, hasChallengingOperations, true]
-
A.
hasChallengingApproach
Indicates that the approach or method involved in reaching or engaging with something is difficult, complex, or demanding.
-
B.
hasMainOperations
Indicates that an entity is associated with its primary or core operations, activities, or functions.
-
C.
hasOperationsIn
Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
-
D.
hasMoreChallengingConditionsIn
Indicates that one situation, environment, or context involves stricter, harsher, or more demanding conditions than another within a specified domain.
-
E.
hasNotableOperation
Indicates that an entity is associated with a significant or noteworthy operation, activity, or procedure.
- 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9ca5a18819086da68b69eed8cc1 |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:15 p.m.