Triple
T22787471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ángel María Villar |
E564008
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Villar |
—
|
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: Villar | Statement: [Ángel María Villar, familyName, Villar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villar Context triple: [Ángel María Villar, familyName, Villar]
-
A.
Villar
chosen
Villar is a Spanish surname borne by various notable figures, including architects, politicians, and athletes.
-
B.
Villaba
Villaba is a coastal municipality in the province of Leyte in the Philippines, known for its beaches and proximity to the Camotes Sea.
-
C.
Villarluengo
Villarluengo is a small rural municipality in the mountainous Maestrazgo comarca of the Aragon region in northeastern Spain.
-
D.
Villar del Cobo
Villar del Cobo is a small rural municipality in the province of Teruel, Aragon, Spain, situated in the mountainous Sierra de Albarracín comarca.
-
E.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c32de6481909ef358d16de98496 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 3:29 p.m.