Triple
T29290409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Lloris |
E742643
|
entity |
| Predicate | tournamentWonWith |
P140545
|
FINISHED |
| Object | France 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: France national football team | Statement: [Hugo Lloris, tournamentWonWith, France national football team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tournamentWonWith Context triple: [Hugo Lloris, tournamentWonWith, France national football team]
-
A.
competitionWonWith
Indicates that a competition was won using, involving, or in association with a particular participant, method, tool, or resource.
-
B.
trophyWonWith
Indicates that a particular trophy or award was achieved using, through, or in association with a specified means, tool, team, or context.
-
C.
wonWithClub
chosen
Indicates that an entity achieved a victory or title while being a member of a specified club.
-
D.
wonAt
Indicates that one entity achieved victory or success in a specific event, competition, or context.
-
E.
winnerPlaysIn
Indicates that the entity identified as the winner of a contest or match participates in a subsequent game, round, or event.
- 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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 1:02 p.m.