Triple
T32939455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Niña (ship) |
E842626
|
entity |
| Predicate | crewSizeEstimate |
P883
|
FINISHED |
| Object | about 20 to 30 men |
—
|
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: about 20 to 30 men | Statement: [La Niña (ship), crewSizeEstimate, about 20 to 30 men]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crewSizeEstimate Context triple: [La Niña (ship), crewSizeEstimate, about 20 to 30 men]
-
A.
crewCountApproximate
chosen
Indicates that the relationship specifies an estimated or approximate number of crew members associated with an entity.
-
B.
teamSizeVariantOf
Indicates that one entity represents a variation of another entity specifically in terms of team size configuration or composition.
-
C.
crewCount
Indicates the number of crew members associated with an entity, such as a vehicle, vessel, or mission.
-
D.
clubSize
Indicates the number of members or participants in a given club.
-
E.
staffSize
Indicates the number of staff members associated with an entity.
- 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.