Triple
T30986131
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sébastien Haller |
E789529
|
entity |
| Predicate | seniorInternationalTeam |
P23147
|
FINISHED |
| Object | Ivory Coast national football team |
—
|
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: Ivory Coast national football team | Statement: [Sébastien Haller, seniorInternationalTeam, Ivory Coast national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seniorInternationalTeam Context triple: [Sébastien Haller, seniorInternationalTeam, Ivory Coast national football team]
-
A.
hasInternationalTeam
Indicates that an entity is associated with or possesses a team that operates or competes at the international level.
-
B.
internationalTeam
Indicates that a team is composed of members from multiple countries or operates across national boundaries.
-
C.
associatedSeniorTeam
chosen
Indicates a relationship where a senior-level team is linked or connected to a given entity as its corresponding or responsible team.
-
D.
notableInternationalTeam
Indicates that an entity is significantly recognized or distinguished at the international level within a team context.
-
E.
ageAtSeniorInternationalDebut
Indicates the age a person was when they first appeared in a senior-level international event or competition.
- 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_69f224c550b081909ddfceb0c3d03bdd |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:56 p.m.