Triple
T26626306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godawari |
E668357
|
entity |
| Predicate | countryCapitalLevel |
P89958
|
FINISHED |
| Object | provincial capital |
—
|
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: provincial capital | Statement: [Godawari, countryCapitalLevel, provincial capital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryCapitalLevel Context triple: [Godawari, countryCapitalLevel, provincial capital]
-
A.
hasCapitalOfLevel
chosen
Indicates that an entity serves as the capital corresponding to a specific administrative or hierarchical level (e.g., national, regional, or local) of another entity.
-
B.
countryCapitalRole
Indicates that one entity serves as the capital city of a given country, representing its primary administrative or governmental center.
-
C.
countryCapitalMunicipality
Indicates that a given municipality serves as the capital city of a specified country.
-
D.
countryCapitalRelation
Indicates that one entity is the capital city of the country represented by the other entity.
-
E.
countryCapitalGridServed
Indicates that the capital city of a country is supplied with electricity by a power grid.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 27, 2026, 2:23 a.m.