Triple
T27462833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johan Neeskens |
E692796
|
entity |
| Predicate | clubAchieved |
P132899
|
FINISHED |
| Object | Copa del Rey winner with FC Barcelona |
—
|
LITERAL FINISHED |
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: Copa del Rey winner with FC Barcelona | Statement: [Johan Neeskens, clubAchieved, Copa del Rey winner with FC Barcelona]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubAchieved Context triple: [Johan Neeskens, clubAchieved, Copa del Rey winner with FC Barcelona]
-
A.
relatedClubAchievement
chosen
Indicates that a club achievement is associated with, or relevant to, the subject entity.
-
B.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
C.
notableAchievementOfClub
Indicates that a particular achievement is recognized as a significant or distinguished accomplishment of a specific club.
-
D.
referentClubAchievement
Indicates that a specific club is the one associated with, or credited for, a particular achievement.
-
E.
associatedClub1
Indicates that an entity has a primary or first-listed association with a particular club or organization.
- 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_69ef5207903881909427745cda05d27a |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6383625cc8190aa223d8ef655743c |
completed | May 2, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69f63709e4848190b5cf322e06b23fb6 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 12:50 p.m.