Triple
T3348874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2017 UEFA Champions League Final |
E70440
|
entity |
| Predicate | realMadridTitleCountAfterMatch |
P13593
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [2017 UEFA Champions League Final, realMadridTitleCountAfterMatch, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realMadridTitleCountAfterMatch Context triple: [2017 UEFA Champions League Final, realMadridTitleCountAfterMatch, 12]
-
A.
CopaDelReyTitles
Indicates the number of Copa del Rey championship titles an entity has won.
-
B.
numberOfLaLigaTitlesWithBarcelona
Indicates the number of La Liga championship titles an entity has won while playing for or being associated with FC Barcelona.
-
C.
homeTeamTitleCountAfterMatch
chosen
Indicates the total number of titles the home team has accumulated after the completion of the referenced match.
-
D.
championsLeagueTitlesWithBarcelonaAsManager
Indicates the number of UEFA Champions League titles a person has won specifically while serving as the manager of FC Barcelona.
-
E.
consecutiveLeagueTitles
Indicates that one entity has won league titles in successive seasons without interruption.
- 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_69ad85a4ef7c8190a29e2bbd6fa454e4 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb21dc7c08190bc18adff8ac5eca2 |
completed | March 8, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69ada42df1d48190874bb05f95deefde |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.