Triple
T13952125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nevelsky District |
E335551
|
entity |
| Predicate | hasMunicipalFormationType |
P33889
|
FINISHED |
| Object | municipal district |
—
|
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: municipal district | Statement: [Nevelsky District, hasMunicipalFormationType, municipal district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMunicipalFormationType Context triple: [Nevelsky District, hasMunicipalFormationType, municipal district]
-
A.
hasMunicipalityType
Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
-
B.
hasMunicipalFormation
chosen
Indicates that an administrative or territorial unit is organized into, or associated with, a specific municipal formation as its local self-governing structure.
-
C.
isPartOfMunicipalityType
Indicates that one administrative unit or area belongs to, or is classified under, a specific type or category of municipality.
-
D.
hasCityGovernmentType
Indicates the specific form or structure of municipal governance that administers a city.
-
E.
hasMunicipalAgencyType
Indicates that a municipal agency is classified as having a specific organizational or functional type.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e146720819085d0f5eae558b7a4 |
completed | April 14, 2026, 12:07 p.m. |
| PD | Predicate disambiguation | batch_69de05a3ccf88190b45c742db483fa08 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:17 p.m.