Triple
T34856554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emerging Media |
E1004740
|
entity |
| Predicate | hasTeamColorAssociation |
P103732
|
FINISHED |
| Object | pink (through Rajasthan Royals) |
—
|
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: pink (through Rajasthan Royals) | Statement: [Emerging Media, hasTeamColorAssociation, pink (through Rajasthan Royals)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeamColorAssociation Context triple: [Emerging Media, hasTeamColorAssociation, pink (through Rajasthan Royals)]
-
A.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
-
B.
hasClubColor
chosen
Indicates that a club or team is associated with a specific color or set of colors used to represent it.
-
C.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
D.
teamColorCategory
Indicates the classification of a team according to its associated color or color-based grouping.
-
E.
hasTeamColorContrast
Indicates that there is a sufficient visual contrast between the colors associated with a team and another relevant color set (such as opponents, background, or interface elements).
- 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_69f76dba76f0819090643cba102c41ec |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe1fd637c08190aa95cd2478c278cb |
completed | May 8, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69fe19344bb481909b5e2144155e4add |
completed | May 8, 2026, 5:11 p.m. |
Created at: May 3, 2026, 4 p.m.