Triple
T2592665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Double Blue |
E58156
|
entity |
| Predicate | hasThematicAssociation |
P2830
|
FINISHED |
| Object | team branding |
—
|
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: team branding | Statement: [Double Blue, hasThematicAssociation, team branding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicAssociation Context triple: [Double Blue, hasThematicAssociation, team branding]
-
A.
primaryThemeAssociation
Indicates that one entity is the main or central theme associated with another entity.
-
B.
hasSubjectThesaurus
Indicates that an entity is associated with or described using a particular subject thesaurus or controlled subject vocabulary.
-
C.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
D.
followsInTheme
Indicates that one element continues or succeeds another while maintaining the same theme or thematic context.
-
E.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
- 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_69ab4ac019c8819094add11c46706e32 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd426e2d4819081a07920b4d2a1cc |
completed | March 7, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69abd0d344988190a18dd93b13e002e6 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.