Triple
T3968400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Bears–Minnesota Vikings rivalry |
E92269
|
entity |
| Predicate | teamColorsMinnesotaVikings |
P4834
|
FINISHED |
| Object | purple, gold, and white |
—
|
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: purple, gold, and white | Statement: [Chicago Bears–Minnesota Vikings rivalry, teamColorsMinnesotaVikings, purple, gold, and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamColorsMinnesotaVikings Context triple: [Chicago Bears–Minnesota Vikings rivalry, teamColorsMinnesotaVikings, purple, gold, and white]
-
A.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
B.
homeTeamColors
Indicates the colors associated with the home team in a sporting event or competition.
-
C.
supportersColor
Indicates that a group of supporters is associated with, identified by, or represented using a particular color.
-
D.
usesNHLClubColorsOf
Indicates that one entity adopts and applies the official color scheme associated with a specified NHL club.
-
E.
partyColor
Indicates the political party affiliation or ideological group with which an entity is associated, typically represented by a specific color.
- 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_69aed96624188190ac8c45bb57ab72b5 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:32 p.m.