Triple
T19446295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan Yagüe |
E486486
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Yagüe |
—
|
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: Yagüe | Statement: [Juan Yagüe, familyName, Yagüe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yagüe Context triple: [Juan Yagüe, familyName, Yagüe]
-
A.
Yagüe
chosen
Yagüe is a Spanish surname most notably associated with Juan Yagüe, a prominent general during the Spanish Civil War.
-
B.
Echague
Echague is a landlocked agricultural municipality in the province of Isabela in the Cagayan Valley region of the Philippines.
-
C.
Yajalón
Yajalón is a town and municipality in the Mexican state of Chiapas, known as an important cultural and population center for the Tzeltal Maya people.
-
D.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
-
E.
Itunyoso
Itunyoso is a region associated with the Trique people, an indigenous group of Oaxaca, Mexico, known for their distinct language and cultural traditions.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338a22608190bb31a1690ca0dab6 |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.