Triple
T2507686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France national football team |
E52622
|
entity |
| Predicate | fifaWorldCupRunnersUp |
P26335
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [France national football team, fifaWorldCupRunnersUp, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fifaWorldCupRunnersUp Context triple: [France national football team, fifaWorldCupRunnersUp, 2]
-
A.
fifaU20WWC_runnersUp
Indicates the team that finished as runners-up (second place) in a given edition of the FIFA U-20 Women's World Cup.
-
B.
worldCupRunnerUp
chosen
Indicates that an entity finished in second place in a FIFA World Cup tournament.
-
C.
fifaU20WWC_runnersUpYear
Indicates the year in which a team finished as runners-up in the FIFA U-20 Women's World Cup.
-
D.
RugbyWorldCupRunnersUp
Indicates the relationship where a team is the runner-up (finishes in second place) in a Rugby World Cup tournament.
-
E.
fifaConfederation
Indicates the regional football governing confederation with which an entity (typically a national team or association) is officially affiliated.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.