Triple
T2507540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sepp Maier |
E52618
|
entity |
| Predicate | FIFAWorldCupRunnerUp |
P26335
|
FINISHED |
| Object | 1966 |
—
|
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: 1966 | Statement: [Sepp Maier, FIFAWorldCupRunnerUp, 1966]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FIFAWorldCupRunnerUp Context triple: [Sepp Maier, FIFAWorldCupRunnerUp, 1966]
-
A.
worldCupRunnerUp
chosen
Indicates that an entity finished in second place in a FIFA World Cup tournament.
-
B.
WorldCupSemiFinalAppearances
Indicates the number of times an entity has reached the semi-final stage of a FIFA World Cup tournament.
-
C.
EuropeanChampionshipRunnerUpIn
Indicates that an entity finished in second place in a specified European Championship competition or edition.
-
D.
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.
-
E.
fifaU20WWC_runnersUpYear
Indicates the year in which a team finished as runners-up in the FIFA U-20 Women's World Cup.
- 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.