Triple
T38640615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Fábrica (Real Madrid youth system) |
E938582
|
entity |
| Predicate | competitiveLevelOfTopYouthTeam |
P50168
|
FINISHED |
| Object | División de Honor Juvenil de España |
—
|
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: División de Honor Juvenil de España | Statement: [La Fábrica (Real Madrid youth system), competitiveLevelOfTopYouthTeam, División de Honor Juvenil de España]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitiveLevelOfTopYouthTeam Context triple: [La Fábrica (Real Madrid youth system), competitiveLevelOfTopYouthTeam, División de Honor Juvenil de España]
-
A.
countryTopYouthLeagueParticipation
Indicates that a country participates in a top-level youth league competition.
-
B.
countryTopYouthLeague
Indicates that the subject is the highest-level youth sports league within the specified country.
-
C.
includesYouthLeagues
Indicates that the subject entity offers, contains, or is associated with organized leagues or programs specifically for youth participants.
-
D.
associatedLeagueLevel
chosen
Indicates that one entity is linked to another entity representing the competitive tier or level of a sports league.
-
E.
youthTier
Indicates a classification relationship where an entity is assigned to a specific youth-related level, category, or bracket within a tiered system.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 3, 2026, 4:32 p.m.