Triple
T1659861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Counties |
E35879
|
entity |
| Predicate | hasNoSingleOfficialDefinition |
P23080
|
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: [Home Counties, hasNoSingleOfficialDefinition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoSingleOfficialDefinition Context triple: [Home Counties, hasNoSingleOfficialDefinition, true]
-
A.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
B.
doesNotDefine
chosen
Indicates that one entity does not provide a definition, specification, or determining description for another entity.
-
C.
hasDefinitenessDistinction
Indicates that a language or system grammatically distinguishes between definite and indefinite (or otherwise specified) reference in its expressions.
-
D.
notOfficialLanguageOf
Indicates that a language is explicitly not recognized or designated as an official language of a given entity (such as a country, region, or organization).
-
E.
doesNotStandFor
Indicates that one entity does not represent, symbolize, or act on behalf of another entity in any capacity.
- 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_69a88606aa808190aa0b421b4271f220 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf3359ce48190803b322db8ad6027 |
completed | March 6, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69a907cff53c8190b424f088478d3e2c |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:29 p.m.