Triple
T30814367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis de Santángel |
E784733
|
entity |
| Predicate | providedFundsFor |
P67
|
FINISHED |
| Object | voyage of the Santa María, Niña and Pinta in 1492 |
—
|
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: voyage of the Santa María, Niña and Pinta in 1492 | Statement: [Luis de Santángel, providedFundsFor, voyage of the Santa María, Niña and Pinta in 1492]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providedFundsFor Context triple: [Luis de Santángel, providedFundsFor, voyage of the Santa María, Niña and Pinta in 1492]
-
A.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
B.
usedFundingFrom
Indicates that one entity utilized financial resources that originated from another entity.
-
C.
permittedFundingFrom
Indicates that providing financial resources from one entity to another is allowed under specified rules or conditions.
-
D.
additionalFunding
Indicates that one entity provides or allocates extra financial resources beyond an initial or existing amount to another entity or project.
-
E.
fundedBy
chosen
Indicates that an entity receives financial support or resources from another 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: April 29, 2026, 8:43 p.m.