Triple
T17545016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peña |
E427302
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | da Peña |
—
|
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: da Peña | Statement: [Peña, hasVariant, da Peña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: da Peña Context triple: [Peña, hasVariant, da Peña]
-
A.
De la Peña
De la Peña is a Spanish surname typically indicating origin from a rocky or cliff-like geographical feature.
-
B.
Peña
chosen
Peña is a Spanish-origin surname borne by numerous individuals across the Spanish-speaking world and beyond.
-
C.
Peña Canto
Peña Canto is a prominent summit that forms the highest elevation in the Montes Torozos range of Spain’s Castile and León region.
-
D.
Peláez
Peláez is a Spanish surname of likely Galician or Asturian origin, borne by various historical and contemporary figures.
-
E.
Garzón
Garzón is a municipality and town in south-central Colombia known as an agricultural center within the Huila Department.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454609bdc8190b81b362906e7e3fd |
completed | April 19, 2026, 4:04 a.m. |
Created at: April 10, 2026, 5:49 a.m.