Triple
T6632507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronaldo |
E149959
|
entity |
| Predicate | playedForClubInLeague |
P27498
|
FINISHED |
| Object | Real Madrid CF in La Liga |
—
|
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: Real Madrid CF in La Liga | Statement: [Ronaldo, playedForClubInLeague, Real Madrid CF in La Liga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedForClubInLeague Context triple: [Ronaldo, playedForClubInLeague, Real Madrid CF in La Liga]
-
A.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
-
B.
teamPlayedFor
Indicates that a person was a member of and played for a particular sports team.
-
C.
leaguePlayedIn
Indicates that a sports team or player has participated in competitions within a particular league.
-
D.
leagueOfTeamPlayedFor
chosen
Indicates the league or competition in which a given team, that an entity played for, participated.
-
E.
associatedWithFootballClub
Indicates that there is a relationship of affiliation or connection between an entity and a football 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.