Triple
T5887213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boston Celtics–Philadelphia 76ers rivalry |
E130892
|
entity |
| Predicate | teamColorAssociationTeam2 |
P4834
|
FINISHED |
| Object | blue, red, 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: blue, red, and white | Statement: [Boston Celtics–Philadelphia 76ers rivalry, teamColorAssociationTeam2, blue, red, and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamColorAssociationTeam2 Context triple: [Boston Celtics–Philadelphia 76ers rivalry, teamColorAssociationTeam2, blue, red, and white]
-
A.
teamColor
chosen
Indicates the association between a team and the color that represents or identifies it.
-
B.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
C.
cityTeam2
Indicates that a team is based in, represents, or is associated with a particular city.
-
D.
homeTeamColors
Indicates the colors associated with the home team in a sporting event or competition.
-
E.
associatedTeamName
Indicates the name of the team that is linked or connected to a given entity.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03fe07b7081909f8577ec3a9a1a8d |
completed | March 22, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69c0334bdc308190ad0d7199ab975588 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:57 p.m.