Triple
T14026538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morant Bay High School |
E337471
|
entity |
| Predicate | usesSchoolUniform |
P78444
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Morant Bay High School, usesSchoolUniform, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSchoolUniform Context triple: [Morant Bay High School, usesSchoolUniform, true]
-
A.
hasSchoolUniform
chosen
Indicates that an entity is required to wear or is associated with a specific school uniform as part of its affiliation with a school.
-
B.
wearsOnUniform
Indicates that an item is part of and is worn as a component of a uniform.
-
C.
woreUniformOf
Indicates that one entity was dressed in or used the official uniform associated with another entity (such as an organization, group, or role).
-
D.
hasSchoolColours
Indicates that an entity is associated with one or more official colours that represent it, typically in formal or symbolic contexts.
-
E.
usualAttire
Indicates the type of clothing an entity typically wears in ordinary or characteristic situations.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa830ac81908cb7df7c9e81e42a |
completed | April 14, 2026, 12:14 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:20 p.m.