Triple
T5229072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | White British |
E118063
|
entity |
| Predicate | nationalIdentification |
P2101
|
FINISHED |
| Object | British |
—
|
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: British | Statement: [White British, nationalIdentification, British]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalIdentification Context triple: [White British, nationalIdentification, British]
-
A.
hasNationalIdentity
chosen
Indicates that an entity possesses or is associated with a particular national identity or nationality.
-
B.
modernIdentification
Indicates that one entity serves as the contemporary or currently accepted identification or classification of another entity.
-
C.
typeOfDocumentIssued
Indicates the specific kind or category of document that has been formally issued in a given context.
-
D.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
E.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another 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.