Triple
T525624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corsair International |
E10910
|
entity |
| Predicate | operatesToDestinationType |
P6304
|
FINISHED |
| Object | holiday destinations |
—
|
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: holiday destinations | Statement: [Corsair International, operatesToDestinationType, holiday destinations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesToDestinationType Context triple: [Corsair International, operatesToDestinationType, holiday destinations]
-
A.
isDestinationFor
Indicates that one entity serves as the endpoint or target location that another entity is intended to reach or be directed toward.
-
B.
operatesOver
Indicates that one entity performs actions or exerts functional control across, upon, or throughout another entity or domain.
-
C.
operatesServiceTo
chosen
Indicates that one entity runs or provides a transportation or service route to another entity or location.
-
D.
operatesBy
Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
-
E.
hasOperationType
Indicates the specific kind or category of operation associated with an entity or process.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b7f448819087e5e7f3b37d7142 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f0198ecc8190883849e5a8245963 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.