Triple
T35068992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cercle Saint-Pierre Limoges |
E1011813
|
entity |
| Predicate | EuropeanTitles |
P182073
|
FINISHED |
| Object | multiple European club titles |
—
|
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: multiple European club titles | Statement: [Cercle Saint-Pierre Limoges, EuropeanTitles, multiple European club titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EuropeanTitles Context triple: [Cercle Saint-Pierre Limoges, EuropeanTitles, multiple European club titles]
-
A.
worldTitles
Indicates that an entity has won one or more world championship titles in a given field or competition.
-
B.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
C.
EuropeanTitleCount
Indicates the number of European titles (such as championships or major continental honors) that an entity has won or holds.
-
D.
EuropeanChampionshipTitles
Indicates the number of European Championship titles an entity has won.
-
E.
worldChampionshipTitles
Indicates the number of world championship titles an entity has won.
- F. None of above. chosen
Provenance (4 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f7865578d48190bf90e470634fd97d |
completed | May 3, 2026, 5:31 p.m. |
| PD | Predicate disambiguation | batch_69f7841812f081909d878955d114088e |
completed | May 3, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69f78575917481909a3defd6a4c366bd |
completed | May 3, 2026, 5:27 p.m. |
Created at: May 3, 2026, 4:01 p.m.