Triple
T3768418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tour of Qatar |
E82736
|
entity |
| Predicate | jerseyColorForPointsLeader |
P47644
|
FINISHED |
| Object | silver jersey |
—
|
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: silver jersey | Statement: [Tour of Qatar, jerseyColorForPointsLeader, silver jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyColorForPointsLeader Context triple: [Tour of Qatar, jerseyColorForPointsLeader, silver jersey]
-
A.
leaderJerseyColor
Indicates the color of the jersey worn by the current leader in a competition or ranking.
-
B.
leaderJerseyName
Indicates the name of the jersey worn by the current leader in a competition or ranking.
-
C.
jerseyNumber
Indicates the specific uniform number assigned to and worn by an individual, typically in a sports context.
-
D.
jerseyColorPrimary
Indicates the main or dominant color used on an entity’s jersey or uniform.
-
E.
pointsClassificationJerseyColor
chosen
Indicates the color of the jersey awarded to the leader of the points classification in a race or competition.
- 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_69ad8b207b0081909d2b48843fbd8795 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc2d4b848190bf63fb3ed5d3b2d9 |
completed | March 8, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69adc04ec36c8190bd5b944d4f4d32aa |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:35 p.m.