Triple
T26752914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ceremonial county of Nottinghamshire |
E674591
|
entity |
| Predicate | partOfConstituentCountry |
P30339
|
FINISHED |
| Object | England |
—
|
NE NERFINISHED |
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: England | Statement: [ceremonial county of Nottinghamshire, partOfConstituentCountry, England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfConstituentCountry Context triple: [ceremonial county of Nottinghamshire, partOfConstituentCountry, England]
-
A.
constituentCountry
chosen
Indicates that one country is a constituent (member) country forming part of a larger sovereign or federal state.
-
B.
existsInConstituentCountry
Indicates that one entity is located within or is present in a country that is a constituent part of a larger sovereign state.
-
C.
hasRegionalOrganizationMembershipOfCountry
Indicates that a country is a member of a specified regional organization.
-
D.
countryOfUnion
Indicates that a given country is a member or constituent state of a specified union or supranational organization.
-
E.
formerParticipatingCountry
Indicates that a country previously took part in a specific organization, event, or arrangement but is no longer a participating member.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: April 27, 2026, 3:54 a.m.