Triple
T32461394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgium national youth football teams |
E829582
|
entity |
| Predicate | nicknameSharedWithSeniorTeam |
P174200
|
FINISHED |
| Object | Red Devils |
—
|
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: Red Devils | Statement: [Belgium national youth football teams, nicknameSharedWithSeniorTeam, Red Devils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameSharedWithSeniorTeam Context triple: [Belgium national youth football teams, nicknameSharedWithSeniorTeam, Red Devils]
-
A.
namedForTeam
Indicates that one entity has been given its name in honor of, or derived from, a particular team.
-
B.
associatedSeniorTeam
Indicates a relationship where a senior-level team is linked or connected to a given entity as its corresponding or responsible team.
-
C.
associatedTeamPrincipal
Indicates that there is a relationship in which a specific team principal is linked or connected to a particular team.
-
D.
associatedTeam
Indicates that one entity is linked or connected to a particular team, typically as its member, owner, or primary affiliation.
-
E.
hasCompanionTeamName
Indicates that an entity is associated with a companion team identified by the given team name.
- F. None of above. chosen
Provenance (4 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c322957c8190806ebfc8a6647570 |
completed | May 3, 2026, 3:38 a.m. |
| PD | Predicate disambiguation | batch_69f6ba700a708190ab6db62791e43774 |
completed | May 3, 2026, 3:01 a.m. |
| PDg | Predicate description generation | batch_69f6bbbe23d48190b2aa662d69b41900 |
completed | May 3, 2026, 3:06 a.m. |
Created at: May 1, 2026, 12:57 a.m.