Triple
T21531703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Home Nations |
E531245
|
entity |
| Predicate | hasNumberOfConstituentCountries |
P3809
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Home Nations, hasNumberOfConstituentCountries, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfConstituentCountries Context triple: [Home Nations, hasNumberOfConstituentCountries, 4]
-
A.
constituentCountry
Indicates that one country is a constituent (member) country forming part of a larger sovereign or federal state.
-
B.
hasNumberOfDependentTerritories
Indicates the quantitative relationship specifying how many dependent territories are associated with a given entity.
-
C.
countryOfUnion
Indicates that a given country is a member or constituent state of a specified union or supranational organization.
-
D.
hasNumberOfCountries
chosen
Indicates the relationship that specifies how many countries are associated with or contained within a given entity.
-
E.
countryAnnexedBy
Indicates that a country has been taken over and incorporated into the territory of another state through annexation.
- 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_69e0c45e5b8881908ac18fc2f493b114 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d0a0e7c8190bbb7ed5c4dfe33af |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:27 p.m.