Triple
T27770388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016–17 Serie A with Juventus FC |
E701727
|
entity |
| Predicate | leagueTitleWonBy |
P12322
|
FINISHED |
| Object | Juventus FC |
—
|
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: Juventus FC | Statement: [2016–17 Serie A with Juventus FC, leagueTitleWonBy, Juventus FC]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leagueTitleWonBy Context triple: [2016–17 Serie A with Juventus FC, leagueTitleWonBy, Juventus FC]
-
A.
wonLeagueTitle
chosen
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
B.
championsTitleWonBy
Indicates that a particular championship title is held or has been won by a specific entity.
-
C.
leagueTitleCompanion
Indicates a relationship where one entity serves as an associated or companion title to another within the same league or competition context.
-
D.
leagueTitleWonWithClub
Indicates that a person has won a league title while playing for or being associated with a specific club.
-
E.
leagueTitleWonAsStaff
Indicates that a person, in a non-playing staff role (e.g., coach or manager), was part of a team that won a league title.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 4:34 p.m.