Triple
T24465634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2021 UEFA Champions League Final |
E616958
|
entity |
| Predicate | ChelseaTitleCountAfterMatch |
P13593
|
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: [2021 UEFA Champions League Final, ChelseaTitleCountAfterMatch, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ChelseaTitleCountAfterMatch Context triple: [2021 UEFA Champions League Final, ChelseaTitleCountAfterMatch, 2]
-
A.
interCompetitionTitleCountAfterMatch
Indicates the number of inter-competition titles an entity holds after a specific match has been completed.
-
B.
homeTeamTitleCountAfterMatch
chosen
Indicates the total number of titles the home team has accumulated after the completion of the referenced match.
-
C.
numberOfLeagueTitles
Indicates the total count of league championship titles that an entity has won.
-
D.
winnerTitleCount
Indicates the number of titles or championships 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_69e2d7f197588190889a03e620558059 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2993ecd988190991598832b29a131 |
completed | April 29, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69f287d76c7c81909494f12e606a9149 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:19 a.m.