Triple
T13812602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France women's national rugby union team |
E331929
|
entity |
| Predicate | jerseyPrimaryColorCode |
P19824
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [France women's national rugby union team, jerseyPrimaryColorCode, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jerseyPrimaryColorCode Context triple: [France women's national rugby union team, jerseyPrimaryColorCode, blue]
-
A.
jerseyColorPrimary
chosen
Indicates the main or dominant color used on an entity’s jersey or uniform.
-
B.
jerseyColorAlternate
Indicates that an entity’s alternate or secondary jersey has a specified color.
-
C.
jerseySecondaryColor
Indicates the secondary or accent color used on an entity’s jersey.
-
D.
jerseyColorContext
Indicates the contextual or situational meaning of a jersey’s color in relation to an entity (e.g., what role, status, or condition the color signifies).
-
E.
jerseyColorThemeOfHost
Indicates that a specified jersey color theme is used by the host team or host entity in an event 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de027198f8819095da3e714ac241f5 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.