Triple
T19790680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temeke |
E475399
|
entity |
| Predicate | countrySubdivisionCodeSystem |
P766
|
FINISHED |
| Object | Tanzanian administrative divisions |
—
|
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: Tanzanian administrative divisions | Statement: [Temeke, countrySubdivisionCodeSystem, Tanzanian administrative divisions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countrySubdivisionCodeSystem Context triple: [Temeke, countrySubdivisionCodeSystem, Tanzanian administrative divisions]
-
A.
countrySubdivision
chosen
Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
-
B.
countrySubdivisionType
Indicates the specific type or category of an administrative or territorial subdivision within a country (e.g., state, province, region).
-
C.
associatedCountrySubdivisionCode
Indicates the specific administrative region or subdivision code within a country that is linked to or relevant for the given entity.
-
D.
countrySubdivisionStandardLink
Indicates a reference or link to the standard or authoritative specification that defines the country’s internal subdivisions.
-
E.
countrySubdivisionTypeRepresented
Indicates that a given entity represents or corresponds to a specific type of country subdivision (such as a state, province, or region).
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653c217bc819092c517b27ca22087 |
completed | April 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.