Triple
T28329812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Oviedo |
E717509
|
entity |
| Predicate | youthAcademyGraduate |
P102700
|
FINISHED |
| Object | Santi Cazorla |
—
|
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: Santi Cazorla | Statement: [Real Oviedo, youthAcademyGraduate, Santi Cazorla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthAcademyGraduate Context triple: [Real Oviedo, youthAcademyGraduate, Santi Cazorla]
-
A.
academyGraduateOf
Indicates that a person has graduated from or successfully completed a program at a particular academy.
-
B.
hasNotableYouthGraduate
chosen
Indicates that an entity has produced or is associated with a notable individual who graduated from it during their youth.
-
C.
graduatedTo
Indicates that one entity has successfully completed a course of study or training program at another entity and obtained a formal qualification or degree from it.
-
D.
graduates
Indicates that an individual successfully completes an educational program and receives a degree or qualification from an institution.
-
E.
academicStatus
Indicates the educational or scholarly standing or level an entity holds within an academic context.
- F. None of above.
Provenance (3 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f649322d1881909297d1b1c607937d |
completed | May 2, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 28, 2026, 12:31 a.m.