Triple
T18891844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samu Castillejo |
E462108
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Azuaga |
—
|
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: Azuaga | Statement: [Samu Castillejo, familyName, Azuaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azuaga Context triple: [Samu Castillejo, familyName, Azuaga]
-
A.
Azuaga
chosen
Azuaga is a municipality in southwestern Spain known for its historical architecture and rural setting within the Extremadura region.
-
B.
Berruecos
Berruecos is a locality in southwestern Colombia historically known as the site where independence leader Antonio José de Sucre was assassinated in 1830.
-
C.
Berazategui
Berazategui is a city in the Buenos Aires Province of Argentina, known as a suburban part of Greater Buenos Aires with both residential areas and industrial activity.
-
D.
Baeza
Baeza is a historic Andalusian town in southern Spain renowned for its well-preserved Renaissance architecture and status as a UNESCO World Heritage Site.
-
E.
Arnedo
Arnedo is a town in the La Rioja region of northern Spain, known historically for its footwear industry and its location amid the Cidacos River valley.
- 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47bbf908190b141e98e3468e908 |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.