Triple

T18014949
Position Surface form Disambiguated ID Type / Status
Subject Hezhou E430976 entity
Predicate hasDistrict P459 FINISHED
Object Babu District 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: Babu District | Statement: [Hezhou, hasDistrict, Babu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babu District
Context triple: [Hezhou, hasDistrict, Babu District]
  • A. Babu District chosen
    Babu District is an urban district and key administrative area within the prefecture-level city of Hezhou in Guangxi, China.
  • B. Doshi District
    Doshi District is an administrative district in northern Afghanistan, located within Baghlan Province and known for its strategic position along key transport routes.
  • C. Arun District
    Arun District is a local government district in West Sussex, England, named after the River Arun and encompassing coastal towns such as Bognor Regis and Littlehampton.
  • D. Nirkh District
    Nirkh District is an administrative district in central Afghanistan, located within Wardak Province and known for its predominantly rural communities.
  • E. Bhandara district
    Bhandara district is an administrative district in the Indian state of Maharashtra, located in the Vidarbha region and known for its rice production and lakes.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b522e84c8190a03f6445df9f5ac8 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.