Triple
T36293594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cook Islands national rugby sevens team |
E893297
|
entity |
| Predicate | teamColorsCountryAssociation |
P4834
|
FINISHED |
| Object | Cook Islands national colors |
—
|
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: Cook Islands national colors | Statement: [Cook Islands national rugby sevens team, teamColorsCountryAssociation, Cook Islands national colors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamColorsCountryAssociation Context triple: [Cook Islands national rugby sevens team, teamColorsCountryAssociation, Cook Islands national colors]
-
A.
clubColoursOfTeam
Indicates the official colours associated with a sports club or team.
-
B.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
C.
teamColorRegion
Indicates the association between a team and the specific color region or area that visually represents it.
-
D.
teamColorsImplied
Indicates that the colors associated with a team are inferred or derived from context rather than explicitly specified.
-
E.
teamColorCategory
Indicates the classification of a team according to its associated color or color-based grouping.
- 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.