Triple
T7410101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenerife South Airport |
E170977
|
entity |
| Predicate | primary use |
P75472
|
FINISHED |
| Object | passenger flights |
—
|
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: passenger flights | Statement: [Tenerife South Airport, primary use, passenger flights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primary use Context triple: [Tenerife South Airport, primary use, passenger flights]
-
A.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
C.
originalPrimaryUse
chosen
Indicates that something was first or chiefly intended to be used for a particular purpose or function.
-
D.
primaryService
Indicates that one entity serves as the main or principal service provided or used in relation to another entity.
-
E.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f29d77848190a6170eb25483224f |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.