Triple
T34894220
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Rouge et Noir de USM Alger |
E1006384
|
entity |
| Predicate | denotesTeamIdentityAspect |
P74143
|
FINISHED |
| Object | team colors |
—
|
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: team colors | Statement: [Les Rouge et Noir de USM Alger, denotesTeamIdentityAspect, team colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesTeamIdentityAspect Context triple: [Les Rouge et Noir de USM Alger, denotesTeamIdentityAspect, team colors]
-
A.
teamIdentityElement
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.
associatedWithTeamIdentity
chosen
Indicates that an entity has a connection or relevance to the identity, branding, or defining characteristics of a particular team.
-
D.
namedForTeam
Indicates that one entity has been given its name in honor of, or derived from, a particular team.
-
E.
typicalTeamDesignation
Indicates the standard or commonly used team name or label that is typically assigned to an 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4 p.m.