Triple
T8059579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bhoys |
E188085
|
entity |
| Predicate | clubColoursPattern |
P80287
|
FINISHED |
| Object | green and white hoops |
—
|
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: green and white hoops | Statement: [The Bhoys, clubColoursPattern, green and white hoops]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clubColoursPattern Context triple: [The Bhoys, clubColoursPattern, green and white hoops]
-
A.
clubColorsMeaning
Indicates the symbolic significance or intended message conveyed by a club’s official colors.
-
B.
ribbonColours
Indicates that there is an association between an entity and one or more colours of ribbons related to it.
-
C.
liveryColors
Indicates the specific set of colors used as the official or characteristic color scheme associated with an entity (such as a brand, organization, or vehicle).
-
D.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
E.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
- F. None of above. chosen
Provenance (4 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_69ca82b2f68881908c50560697e210da |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3fcaa8b8819099267564b6542547 |
completed | March 31, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69cb049cd51c8190bb3b0f503e42fa8d |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:25 p.m.