Triple
T31637459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Zebrette |
E807350
|
entity |
| Predicate | teamIdentityElementOf |
P119108
|
FINISHED |
| Object | Udinese Calcio |
—
|
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: Udinese Calcio | Statement: [Le Zebrette, teamIdentityElementOf, Udinese Calcio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamIdentityElementOf Context triple: [Le Zebrette, teamIdentityElementOf, Udinese Calcio]
-
A.
teamIdentityElement
chosen
Indicates that one entity serves as the neutral or identity element for a team-related operation or composition involving another entity.
-
B.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
-
C.
leagueTeam
Indicates that a team is a member or participant of a particular league.
-
D.
memberTeam
Indicates that an entity belongs to or is part of a specific team.
-
E.
stateTeamOf
Indicates that one entity is the official team representing a particular state associated with another entity.
- 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_69f348d892948190915f8facacb9568c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a9178de08190a62eaf212cf356cb |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:48 p.m.