Triple
T22804106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyndhurst Golden Bears |
E564484
|
entity |
| Predicate | hasTeamColorStatus |
P103732
|
FINISHED |
| Object | uses school colors of Lyndhurst High School |
—
|
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: uses school colors of Lyndhurst High School | Statement: [Lyndhurst Golden Bears, hasTeamColorStatus, uses school colors of Lyndhurst High School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTeamColorStatus Context triple: [Lyndhurst Golden Bears, hasTeamColorStatus, uses school colors of Lyndhurst High School]
-
A.
hasTeamColorContrast
Indicates that there is a sufficient visual contrast between the colors associated with a team and another relevant color set (such as opponents, background, or interface elements).
-
B.
teamColorContext
Indicates the contextual or situational association between a team and its designated color.
-
C.
teamColor
Indicates the association between a team and the color that represents or identifies it.
-
D.
hasClubColor
chosen
Indicates that a club or team is associated with a specific color or set of colors used to represent it.
-
E.
teamColorOrIdentity
Indicates that a team is associated with a particular color or identifying attribute used to distinguish it from other teams.
- 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_69e245823f4c8190ade442cdcc2c224a |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d5a7c2881909a7aaacddd09f00c |
completed | April 29, 2026, 3:39 a.m. |
| PD | Predicate disambiguation | batch_69eed2cb30f481909566369f515f6eff |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:31 p.m.