Triple
T5229112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White British |
E118063
|
entity |
| Predicate | isEthnicCategoryUnder |
P14216
|
FINISHED |
| Object | Equality Act 2010 monitoring frameworks |
—
|
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: Equality Act 2010 monitoring frameworks | Statement: [White British, isEthnicCategoryUnder, Equality Act 2010 monitoring frameworks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEthnicCategoryUnder Context triple: [White British, isEthnicCategoryUnder, Equality Act 2010 monitoring frameworks]
-
A.
ethnicCategoryIn
chosen
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
-
B.
containedEthnicGroup
Indicates that one entity (typically a larger group, region, or population) includes or encompasses a particular ethnic group within it.
-
C.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
-
D.
hasEthnicInfluence
Indicates that one entity has a cultural, traditional, or ethnic impact on, or contributes to shaping the ethnic character of, another entity.
-
E.
otherEthnicGroup
Indicates that one entity belongs to a different ethnic group than the other entity.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0093a88190aba381ba3f761408 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:48 p.m.