Triple
T23470925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estadio Alfredo Di Stéfano |
E570123
|
entity |
| Predicate | associatedWithClubLegend |
P102426
|
FINISHED |
| Object | Alfredo Di Stéfano |
—
|
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: Alfredo Di Stéfano | Statement: [Estadio Alfredo Di Stéfano, associatedWithClubLegend, Alfredo Di Stéfano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithClubLegend Context triple: [Estadio Alfredo Di Stéfano, associatedWithClubLegend, Alfredo Di Stéfano]
-
A.
associatedWithClubSuccess
Indicates that an entity has a meaningful connection or contribution to the success or achievements of a club.
-
B.
relatedClubAchievement
Indicates that a club achievement is associated with, or relevant to, the subject entity.
-
C.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football club.
-
D.
relatedToClub
chosen
Indicates that there is an association or connection between an entity and a club, without specifying the exact nature of that relationship.
-
E.
associatedClub2
Indicates that an entity has a secondary or additional affiliation or membership with a particular club.
- 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6ff8dc0819086961b1f07030d9c |
completed | April 29, 2026, 6:36 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:55 p.m.