Triple
T4032581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toulouse FC |
E83748
|
entity |
| Predicate | countryLeagueTier |
P19888
|
FINISHED |
| Object | top division of French football |
—
|
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: top division of French football | Statement: [Toulouse FC, countryLeagueTier, top division of French football]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryLeagueTier Context triple: [Toulouse FC, countryLeagueTier, top division of French football]
-
A.
countryLeagueSystem
Indicates that a particular league system operates within, or is associated with, a specific country.
-
B.
tierInNationalFootball
chosen
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
-
C.
leagueType
Indicates the classification or category of a league within a broader organizational or competitive structure.
-
D.
leagueOrCup
Indicates that one entity is a league or cup competition in which the other entity participates or is associated.
-
E.
levelInUEFASystem
Indicates the specific tier or division an entity occupies within the hierarchical structure of the UEFA football league system.
- 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb0f776881909db6b7df1db7664c |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.