Triple

T6537117
Position Surface form Disambiguated ID Type / Status
Subject Bochnia County E168191 entity
Predicate hasMunicipalType P10835 FINISHED
Object urban gmina 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: urban gmina | Statement: [Bochnia County, hasMunicipalType, urban gmina]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMunicipalType
Context triple: [Bochnia County, hasMunicipalType, urban gmina]
  • A. hasMunicipalityType chosen
    Indicates that an administrative unit is classified as having a specific type or category of municipality (e.g., city, town, village).
  • B. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • C. isMunicipalStatus
    Indicates that an entity possesses a specific legally defined municipal status or classification within a governmental or administrative system.
  • D. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • E. isMunicipalCorporationOf
    Indicates that an entity functions as the municipal governing body responsible for administering and managing the affairs of a specified city or urban area.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ce07332481909a5a7964282eb776 completed March 27, 2026, 6:35 p.m.
PD Predicate disambiguation batch_69c6acf3e3708190b052ec774e607cb7 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:49 p.m.