Triple
T6696139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wetherby School |
E152754
|
entity |
| Predicate | uniformPolicy |
P39248
|
FINISHED |
| Object | school uniform required |
—
|
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: school uniform required | Statement: [Wetherby School, uniformPolicy, school uniform required]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uniformPolicy Context triple: [Wetherby School, uniformPolicy, school uniform required]
-
A.
ordinationPolicy
Indicates the rules or criteria governing how entities are ordered, ranked, or arranged relative to one another.
-
B.
governingPolicy
Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
-
C.
advancedPolicyOf
Indicates that one policy is a more developed, detailed, or progressive version of another policy.
-
D.
uniformizedBy
chosen
Indicates that one entity has been made uniform, standardized, or brought into a consistent form or structure by another entity.
-
E.
uniformAuthority
Indicates that an authority or governing body applies rules, standards, or control consistently and uniformly across all relevant entities or 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b5ed99e48190970805225458ce82 |
completed | March 27, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0e1d348190af1762ea1951038e |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:05 p.m.