Triple

T23022944
Position Surface form Disambiguated ID Type / Status
Subject Khaling language E573216 entity
Predicate region P40 FINISHED
Object Okhaldhunga 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: Okhaldhunga District | Statement: [Khaling language, region, Okhaldhunga District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okhaldhunga District
Context triple: [Khaling language, region, Okhaldhunga District]
  • A. Okhaldhunga District chosen
    Okhaldhunga District is an eastern hilly district of Nepal known for its rural landscapes, traditional culture, and role as an administrative unit within Province No. 1.
  • B. Mazabuka District
    Mazabuka District is an administrative district in southern Zambia known for its sugarcane production and centered around the town of Mazabuka.
  • C. Kasulu District
    Kasulu District is an administrative district in western Tanzania known for its large rural population and proximity to the Burundi border.
  • D. Shamva District
    Shamva District is an administrative district in northern Zimbabwe, located within Mashonaland Central Province and known historically for its gold mining activities.
  • E. Manafwa District
    Manafwa District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • 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_69e245b821008190b0e09cb02092aae1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183ea23088190b2f42d9bf01514ac completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.