Triple
T76867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Bears |
E1535
|
entity |
| Predicate | teamColor |
P4834
|
FINISHED |
| Object | blue |
—
|
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: blue | Statement: [Golden Bears, teamColor, blue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamColor Context triple: [Golden Bears, teamColor, blue]
-
A.
team1
Indicates that the referenced entity is the first team or side participating in a competitive or relational context.
-
B.
pennantTeam
Indicates that a team has won or represents the league or conference pennant for a given season or competition.
-
C.
team2
Indicates that the second team involved in a competitive or collaborative context is associated with a given entity or event.
-
D.
homeTeam
Indicates that one entity is designated as the home team in a game, match, or sporting event involving another entity.
-
E.
containsSportsTeam
Indicates that one entity (typically a location or organization) has a sports team as part of it or within its boundaries.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a2559892dc81909303f2eefdc0025f |
completed | Feb. 28, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69a24eaf99e481908e8d314577e22ecf |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a25597b6c48190849c3e9e6351b983 |
completed | Feb. 28, 2026, 2:40 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.