Triple
T29492723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vernon Independent School District |
E748122
|
entity |
| Predicate | highSchoolColors |
P19185
|
FINISHED |
| Object | maroon 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: maroon and white | Statement: [Vernon Independent School District, highSchoolColors, maroon and white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highSchoolColors Context triple: [Vernon Independent School District, highSchoolColors, maroon and white]
-
A.
hasSchoolColours
chosen
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
-
B.
collegeTeamColor
Indicates that a particular color is one of the official colors associated with a given college sports team.
-
C.
mascotOfHighSchool
Indicates that one entity serves as the official mascot representing a particular high school.
-
D.
highSchoolTeam
Indicates that one entity is a sports team (or similar organized group) that represents or is affiliated with a particular high school.
-
E.
nationalColorsRepresented
Indicates that the national colors of an entity are visibly included or symbolically expressed in another entity or context.
- 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_69f0bd448c6881908aa6b475cefd5ddc |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66c0c08688190b0957e2fb726e9f8 |
completed | May 2, 2026, 9:26 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 4:15 p.m.