Triple
T24364388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Real Madrid CF |
E614153
|
entity |
| Predicate | titlesInCompetition |
P155926
|
FINISHED |
| Object | European Cup |
—
|
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: European Cup | Statement: [Real Madrid CF, titlesInCompetition, European Cup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titlesInCompetition Context triple: [Real Madrid CF, titlesInCompetition, European Cup]
-
A.
competitionTitle
Indicates the official name or title assigned to a specific competition or contest.
-
B.
rankingEventTitles
Indicates that certain events are ordered or prioritized by their titles, typically for display or comparison purposes.
-
C.
conferenceTournamentTitles
Indicates the number of conference tournament championships an entity has won.
-
D.
titleFightsConsistOf
Indicates that a set of title fights is composed of, or made up from, specific individual fights.
-
E.
conferenceTitlesInSport
Indicates that the subject has won or holds conference titles within a particular sport.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2938694548190a3fcb148cfff65b0 |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2:01 a.m.