Triple
T9142258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R/V Vema |
E219357
|
entity |
| Predicate | typeOfCruises |
P24304
|
FINISHED |
| Object | long-duration global cruises |
—
|
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: long-duration global cruises | Statement: [R/V Vema, typeOfCruises, long-duration global cruises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfCruises Context triple: [R/V Vema, typeOfCruises, long-duration global cruises]
-
A.
voyageType
chosen
Indicates the specific category or nature of a journey or trip that an entity undertakes.
-
B.
craftType
Indicates the specific kind or category of craft or vessel associated with an entity.
-
C.
cabinTypes
Indicates the types or categories of cabins associated with an entity, such as the different classes or configurations available.
-
D.
offersClassOfTravel
Indicates that a service provider makes a particular class or tier of travel (e.g., economy, business, first) available as an option.
-
E.
cruiseRegion
Indicates the geographic region or area in which a cruise operates or takes place.
- 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_69ca83e012288190a5771058adbaabd2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8f5f740819098236ada5b95889d |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.