Triple
T37379602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1998 UEFA Champions League Final |
E928393
|
entity |
| Predicate | juventusConsecutiveFinalsNumber |
P188010
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [1998 UEFA Champions League Final, juventusConsecutiveFinalsNumber, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: juventusConsecutiveFinalsNumber Context triple: [1998 UEFA Champions League Final, juventusConsecutiveFinalsNumber, 3]
-
A.
JuventusTitleCount
Indicates the number of titles that Juventus has won.
-
B.
JuventusFCUsePeriod
Indicates the time period during which Juventus FC is active, relevant, or under consideration in a given context.
-
C.
juventusFinalDefeatsCountAfterMatch
Indicates the number of final matches Juventus has lost after the completion of a specific match.
-
D.
Juventus routeToFinal
Indicates that Juventus progresses through preceding rounds or matches to reach the final of a competition.
-
E.
numberOfCoppaItaliaTitles
Indicates the quantity of Coppa Italia titles that 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_69f76eb9e66881908534cf22d04c3b5a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb9e1845e881908d19158440cf3b87 |
completed | May 6, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69fb8d08d6988190a00794ac26078348 |
completed | May 6, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69fb9e173f348190b7ab5935e4dca039 |
completed | May 6, 2026, 8:01 p.m. |
Created at: May 3, 2026, 4:16 p.m.