Triple
T24632387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juventus supporters |
E609713
|
entity |
| Predicate | supportsLeagueParticipationIn |
P117252
|
FINISHED |
| Object | Serie A |
—
|
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: Serie A | Statement: [Juventus supporters, supportsLeagueParticipationIn, Serie A]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLeagueParticipationIn Context triple: [Juventus supporters, supportsLeagueParticipationIn, Serie A]
-
A.
supportsLeagueParticipation
chosen
Indicates that one entity enables, facilitates, or allows another entity to take part in a league or league-based competition.
-
B.
supportsLeagueLevel
Indicates that one entity provides the necessary conditions, resources, or authorization for a particular league level to exist or operate.
-
C.
supportsCompetitionParticipationOf
Indicates that one entity provides assistance, resources, or endorsement enabling another entity to take part in a competition.
-
D.
supportsLeagueType
Indicates that one entity is compatible with, or designed to work with, a particular type or category of league.
-
E.
supportsClubInLeague
Indicates that one entity provides backing or sponsorship for a club participating in a particular league.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.