Triple
T37144706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Dauphins Noirs |
E920210
|
entity |
| Predicate | clubStatusOfReferent |
P102102
|
FINISHED |
| Object | major football club in DR Congo |
—
|
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: major football club in DR Congo | Statement: [Les Dauphins Noirs, clubStatusOfReferent, major football club in DR Congo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubStatusOfReferent Context triple: [Les Dauphins Noirs, clubStatusOfReferent, major football club in DR Congo]
-
A.
clubStatus
Indicates the current standing or role an entity holds within a club, such as membership level, activity state, or official position.
-
B.
associatedClubStatus
chosen
Indicates the status or condition of a club as it relates to a particular entity or relationship.
-
C.
associatedClubState
Indicates that there is a relationship between an entity and the state-level club or organization with which it is formally connected or affiliated.
-
D.
clubState
Indicates that a club is associated with, based in, or officially belongs to a particular state or regional jurisdiction.
-
E.
officialStatusWithTeam
Indicates that an entity holds or has held an official role, position, or status in relation to a specific team.
- 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_69f76e9e9d008190a250b0387c992c74 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.