Triple
T8005406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade de Reims |
E186352
|
entity |
| Predicate | EuropeanCupFinalAppearances |
P15912
|
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: [Stade de Reims, EuropeanCupFinalAppearances, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanCupFinalAppearances Context triple: [Stade de Reims, EuropeanCupFinalAppearances, 2]
-
A.
EuropeanCupTitles
Indicates the number of European Cup (now UEFA Champions League) titles that an entity, typically a football club, has won.
-
B.
EuropeanChampionshipAppearances
Indicates the number of times an entity has participated in a European Championship tournament.
-
C.
EuropeanCupFinalSeason
Indicates the season in which a given European Cup final took place.
-
D.
EuropeanFinalAppearance
chosen
Indicates that an entity has participated in the final match or stage of a European-level competition or tournament.
-
E.
EuropeanCupWinnerWith
Indicates that one entity is the winner of a European Cup (or similar continental competition) in association with, or while being part of, the other entity.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf72fc08190aa78b97c1ab92f90 |
completed | March 31, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69cb048c9f488190b4fb8917a9c21bc5 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:18 p.m.