Triple
T21520413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huron School District (Michigan) |
E530959
|
entity |
| Predicate | hasSchoolColorsAtHighSchool |
P19185
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Huron School District (Michigan), hasSchoolColorsAtHighSchool, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSchoolColorsAtHighSchool Context triple: [Huron School District (Michigan), hasSchoolColorsAtHighSchool, red]
-
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.
hasSchoolEmblem
Indicates that a school possesses or is represented by a specific emblem or symbol.
-
C.
hasSchoolUniform
Indicates that an entity is required to wear or is associated with a specific school uniform as part of its affiliation with a school.
-
D.
attendedHighSchoolIn
Indicates that an entity completed or was enrolled in high school education in a specified location.
-
E.
hasSchool
Indicates that an entity possesses, is associated with, or is served by a particular school.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884bfa548190a39e5992ed6bb8a8 |
completed | April 26, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:26 p.m.