Triple
T32465635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Dakota–Denver rivalry |
E829695
|
entity |
| Predicate | teamColorDenver |
P4834
|
FINISHED |
| Object | crimson |
—
|
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: crimson | Statement: [North Dakota–Denver rivalry, teamColorDenver, crimson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamColorDenver Context triple: [North Dakota–Denver rivalry, teamColorDenver, crimson]
-
A.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
B.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
-
C.
teamColorsImplied
Indicates that the colors associated with a team are inferred or derived from context rather than explicitly specified.
-
D.
collegeTeamColor
Indicates that a particular color is one of the official colors associated with a given college sports team.
-
E.
teamNumberWithColoradoRockies
Indicates that the associated team is identified by the team number assigned to the Colorado Rockies.
- 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_69f3491ee87c81908cbf5890079c2af6 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:57 a.m.