Triple
T38058436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Madrid U14 |
E950267
|
entity |
| Predicate | academyName |
P2858
|
FINISHED |
| Object | La Fábrica |
—
|
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: La Fábrica | Statement: [Real Madrid U14, academyName, La Fábrica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyName Context triple: [Real Madrid U14, academyName, La Fábrica]
-
A.
academyNickname
Indicates that an entity is known by a particular informal or colloquial nickname within an academy or academic institution context.
-
B.
academyClass
Indicates that an entity is a class, course, or instructional grouping offered within an academy or educational institution.
-
C.
academyBranch
Indicates that one entity is a branch, division, or subsidiary campus of an academy or educational institution.
-
D.
isAcademy
Indicates that an entity functions as or is classified as an academy (an educational or training institution).
-
E.
trainingInstitution
chosen
Indicates that one entity serves as the institution or organization where another entity receives training or education.
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc44c7e73c819082d4fc1900fb9632 |
completed | May 7, 2026, 7:52 a.m. |
| PD | Predicate disambiguation | batch_69fbc8efffbc8190a139798ad1880526 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:21 p.m.