Triple
T20496118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Begoña Palacios |
E502877
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Begoña |
—
|
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: Begoña | Statement: [Begoña Palacios, givenName, Begoña]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Begoña Context triple: [Begoña Palacios, givenName, Begoña]
-
A.
Begoña
chosen
Begoña is a Spanish feminine given name commonly used in Spain and Spanish-speaking countries.
-
B.
Alfonsa
Alfonsa is a feminine given name, primarily used in Romance-language cultures, derived from the masculine name Alfonso.
-
C.
Gracia Querejeta
Gracia Querejeta is a Spanish film director and screenwriter known for her character-driven dramas and significant contributions to contemporary Spanish cinema.
-
D.
Leyre
Leyre is a river in southwestern France that flows through the Landes region before emptying into the Arcachon Bay.
-
E.
Ainhoa
Ainhoa is a picturesque Basque village in southwestern France, known for its traditional half-timbered houses and status as one of the "Most Beautiful Villages of France."
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cbdeb9c819090a30a7961146c93 |
completed | April 20, 2026, 9:38 p.m. |
Created at: April 16, 2026, 11:35 a.m.