Triple
T58142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guaranteed Rate Field |
E1150
|
entity |
| Predicate | primaryTeamColorsDisplayed |
P60
|
FINISHED |
| Object | black |
—
|
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: black | Statement: [Guaranteed Rate Field, primaryTeamColorsDisplayed, black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTeamColorsDisplayed Context triple: [Guaranteed Rate Field, primaryTeamColorsDisplayed, black]
-
A.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
-
B.
colors
chosen
Indicates that one entity assigns, describes, or provides the color or colors of another entity.
-
C.
hasSportsTeam
Indicates that an entity possesses, sponsors, or is represented by a sports team.
-
D.
leaguePennants
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
-
E.
teamDivision
Indicates how a larger team is split into smaller subgroups or units for organization or collaboration.
- 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_69a248adc5b48190aa8db9fb092fb28a |
completed | Feb. 28, 2026, 1:45 a.m. |
| NER | Named-entity recognition | batch_69a24c9057348190aa6692eeeae19569 |
completed | Feb. 28, 2026, 2:01 a.m. |
| PD | Predicate disambiguation | batch_69a24ac7547c81909bb68f327cdb9158 |
completed | Feb. 28, 2026, 1:54 a.m. |
Created at: Feb. 28, 2026, 1:50 a.m.