Triple
T9219426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AS Saint-Étienne |
E221322
|
entity |
| Predicate | Ligue1ChampionSeasons |
P55373
|
FINISHED |
| Object | 1956–57 |
—
|
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: 1956–57 | Statement: [AS Saint-Étienne, Ligue1ChampionSeasons, 1956–57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Ligue1ChampionSeasons Context triple: [AS Saint-Étienne, Ligue1ChampionSeasons, 1956–57]
-
A.
Ligue1TitleSeason
chosen
Indicates the relationship between a Ligue 1 football title and the specific season in which that title was won.
-
B.
CoupeDeFranceTitleSeason
Indicates the specific season in which a Coupe de France title was won.
-
C.
TropheeDesChampionsTitleSeason
Indicates that a team (or club) won the Trophée des Champions title in a specific season.
-
D.
championLeague
Indicates that an entity has won or holds the championship title in a particular league or competitive event.
-
E.
notableChampionsLeagueSeason
Indicates that an entity had a particularly significant or distinguished season in the UEFA Champions League.
- 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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda74808081908d4bf890759e7120 |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:28 p.m.