Triple
T20851535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurt Zouma |
E513374
|
entity |
| Predicate | honoursWithClub |
P132899
|
FINISHED |
| Object | Ligue 1 Coupe de la Ligue winner with Saint-Étienne |
—
|
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: Ligue 1 Coupe de la Ligue winner with Saint-Étienne | Statement: [Kurt Zouma, honoursWithClub, Ligue 1 Coupe de la Ligue winner with Saint-Étienne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honoursWithClub Context triple: [Kurt Zouma, honoursWithClub, Ligue 1 Coupe de la Ligue winner with Saint-Étienne]
-
A.
honoursAsPlayer
Indicates that one entity has received awards, recognitions, or honours specifically for their role or achievements as a player.
-
B.
clubHonour
Indicates that a club has received or been awarded a particular honour, title, or distinction.
-
C.
honoursAchievement
Indicates that one entity formally recognizes and celebrates the notable accomplishment or success of another entity.
-
D.
teamHonour
Indicates that a team has received or been awarded a particular honour, title, or distinction.
-
E.
relatedClubAchievement
chosen
Indicates that a club achievement is associated with, or relevant to, the subject 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_69e0b4f4898081908209e58edb8f9c45 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a3d8808190b8efce77ae36850e |
completed | April 21, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a593f481908beb457c29f1ce73 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:43 p.m.