Triple
T12412071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Club au Scapulaire |
E296540
|
entity |
| Predicate | nicknameRefersToJerseyPatternShape |
P104983
|
FINISHED |
| Object | V-shaped band |
—
|
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: V-shaped band | Statement: [Le Club au Scapulaire, nicknameRefersToJerseyPatternShape, V-shaped band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nicknameRefersToJerseyPatternShape Context triple: [Le Club au Scapulaire, nicknameRefersToJerseyPatternShape, V-shaped band]
-
A.
jerseyNumber
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
-
B.
jerseyNumberStyle
Indicates the visual design or formatting style used for displaying a player’s jersey number.
-
C.
leaderJerseyColor
Indicates the color of the jersey worn by the current leader in a competition or ranking.
-
D.
pointsClassificationJerseyColor
Indicates the color of the jersey awarded to the leader of the points classification in a race or competition.
-
E.
hasJerseyColor
Indicates that an entity’s jersey possesses or is characterized by a specific color.
- F. None of above. chosen
Provenance (4 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.