Triple

T23094017
Position Surface form Disambiguated ID Type / Status
Subject Hakha Chin language E575833 entity
Predicate hasAlternativeName P39 FINISHED
Object Hakha 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: Hakha | Statement: [Hakha Chin language, hasAlternativeName, Hakha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hakha
Context triple: [Hakha Chin language, hasAlternativeName, Hakha]
  • A. Hakha chosen
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • B. Khaba
    Khaba was an early ancient Egyptian pharaoh of the 3rd Dynasty, best known for his association with the unfinished Layer Pyramid at Zawyet el'Aryan and for the relative obscurity surrounding his reign.
  • C. Khoksa
    Khoksa is a town and administrative unit in western Bangladesh, situated within the Kushtia District of the Khulna Division.
  • D. Hakadal
    Hakadal is a village area in Nittedal, Norway, known as a gateway to the Nordmarka forest and for its surrounding outdoor recreation opportunities.
  • E. Nokha
    Nokha is a town in the Indian state of Rajasthan, known as a commercial and agricultural center within the Bikaner region.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18de2ed088190971ff08c58b15aad completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:57 p.m.