Triple

T20037753
Position Surface form Disambiguated ID Type / Status
Subject Kadoma, Osaka, Japan E497320 entity
Predicate governingBody P46 FINISHED
Object Kadoma city government NE NERFINISHED

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: Kadoma city government | Statement: [Kadoma, Osaka, Japan, governingBody, Kadoma city government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kadoma city government
Context triple: [Kadoma, Osaka, Japan, governingBody, Kadoma city government]
  • A. Kadoma city council chosen
    Kadoma city council is the local governing body responsible for making municipal policies, bylaws, and development decisions for the city of Kadoma.
  • B. Dodoma Municipal Council
    Dodoma Municipal Council is the local government authority responsible for administering and providing public services in the urban area of Dodoma, the capital city of Tanzania.
  • C. Kadoma
    Kadoma is a city in Osaka Prefecture, Japan, known as a residential and commercial suburb within the Osaka metropolitan area.
  • D. Kadoma
    Kadoma is a city in central Zimbabwe known for its gold mining and agricultural activities.
  • E. Kinondoni Municipal Council
    Kinondoni Municipal Council is the local government authority responsible for administering public services, development planning, and governance in the Kinondoni district of Dar es Salaam, Tanzania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.