Triple
T38463592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida Mayhem |
E912509
|
entity |
| Predicate | formerTeamColors |
P203278
|
FINISHED |
| Object | yellow |
—
|
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: yellow | Statement: [Florida Mayhem, formerTeamColors, yellow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerTeamColors Context triple: [Florida Mayhem, formerTeamColors, yellow]
-
A.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
B.
teamColorsImplied
Indicates that the colors associated with a team are inferred or derived from context rather than explicitly specified.
-
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.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a01487b73488190954eb5143e6f246e |
completed | May 11, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_6a0145210ae481908da59b02efdbc397 |
completed | May 11, 2026, 2:55 a.m. |
| PDg | Predicate description generation | batch_6a01487ac3608190946beee970e5559b |
completed | May 11, 2026, 3:09 a.m. |
Created at: May 3, 2026, 4:31 p.m.