Triple
T24753187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 UEFA Champions League Final |
E619204
|
entity |
| Predicate | seasonTopScorerTeam1 |
P158105
|
FINISHED |
| Object | Andriy Shevchenko |
—
|
NE NERFINISHED |
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: Andriy Shevchenko | Statement: [2005 UEFA Champions League Final, seasonTopScorerTeam1, Andriy Shevchenko]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonTopScorerTeam1 Context triple: [2005 UEFA Champions League Final, seasonTopScorerTeam1, Andriy Shevchenko]
-
A.
leagueTopScorerTeam
Indicates the team for which a given league’s top-scoring player plays or played.
-
B.
topScorerTeam
Indicates that a given team is the one with the highest score (or total points) in a particular game, season, or competition.
-
C.
leagueTopScorerInSeason
Indicates that an entity was the highest goal/point scorer in a particular league during a specified season.
-
D.
mostPointsClub
Indicates that a club holds the highest number of points compared to all other clubs in the relevant context.
-
E.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
| PDg | Predicate description generation | batch_69f464ae42e88190b3549fdf4e0b425e |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 18, 2026, 4:25 a.m.