Triple
T18978730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Sochaux-Montbéliard |
E464364
|
entity |
| Predicate | FrenchDivision1Titles |
P120841
|
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: [FC Sochaux-Montbéliard, FrenchDivision1Titles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FrenchDivision1Titles Context triple: [FC Sochaux-Montbéliard, FrenchDivision1Titles, 2]
-
A.
FrenchLeagueTitlesWith
Indicates a relationship where two entities are associated through having won French football league titles together (e.g., a club and a player sharing those titles).
-
B.
mostDivisionTitlesTeam
Indicates that the subject team holds the record for having won the greatest number of division titles compared to all other teams.
-
C.
team2DivisionTitles
Indicates the number of division championship titles that the second team has won.
-
D.
Ligue1Titles
chosen
Indicates the number of Ligue 1 championship titles an entity has won.
-
E.
divisionTitlesWonWith
Indicates that one entity has won a specified number of division titles in association with another entity (such as a team, league, or organization).
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d621e3e08190b2d1d969ecaa380b |
completed | April 20, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f437648190b85650dae8885d48 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.