Triple
T35695813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Båtsfjord Airport |
E1031435
|
entity |
| Predicate | hasEssentialTransportFunction |
P84032
|
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: [Båtsfjord Airport, hasEssentialTransportFunction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEssentialTransportFunction Context triple: [Båtsfjord Airport, hasEssentialTransportFunction, true]
-
A.
hasTransportFunction
Indicates that an entity serves to move or carry something (such as people, goods, or signals) from one place or state to another.
-
B.
hasMolecularFunction
Indicates that an entity (typically a gene product or protein) performs or is associated with a specific molecular-level activity or function.
-
C.
hasTransportSignificance
chosen
Indicates that something plays an important role or has notable relevance within a transportation or transit context.
-
D.
hasTransportationElement
Indicates that one entity includes, involves, or is associated with a specific transportation-related component or feature.
-
E.
hasTransporters
Indicates that one entity possesses, provides, or is equipped with one or more means of transportation for another entity or purpose.
- 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_69f76e0c73ec819080ab60a9e2f5f1f6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7a34f8ee08190a040304635539a8f |
completed | May 3, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69f7a06f125c8190843af194f042a465 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:05 p.m.