Triple
T32939459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Niña (ship) |
E842626
|
entity |
| Predicate | voyageDestinationRegion |
P84698
|
FINISHED |
| Object | Caribbean Sea |
—
|
NE NERFINISHED |
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: Caribbean Sea | Statement: [La Niña (ship), voyageDestinationRegion, Caribbean Sea]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: voyageDestinationRegion Context triple: [La Niña (ship), voyageDestinationRegion, Caribbean Sea]
-
A.
typicalDestinationsRegion
Indicates that a region is a common or characteristic destination area associated with something (such as travelers, routes, or activities).
-
B.
cruiseRegion
chosen
Indicates the geographic region or area in which a cruise operates or takes place.
-
C.
departurePortRegion
Indicates the geographic region from which a departure (such as a trip, shipment, or transport) originates.
-
D.
continentOfDestination
Indicates that a specified continent is the destination location associated with an entity’s movement, travel, or targeting.
-
E.
worldRegion
Indicates that one entity is a geographic region that encompasses, contains, or is associated with the other entity within the world.
- 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_69f34949727c81909d195c97de3341c8 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:20 a.m.