Triple

T16192022
Position Surface form Disambiguated ID Type / Status
Subject Lhuentse District E392962 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Ngalop E79082 NE 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: Ngalop | Statement: [Lhuentse District, hasEthnicGroup, Ngalop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ngalop
Context triple: [Lhuentse District, hasEthnicGroup, Ngalop]
  • A. Ngalop chosen
    Ngalop are the dominant ethnic group of Bhutan, traditionally associated with Tibetan Buddhist culture, Dzongkha language, and the country’s political and religious institutions.
  • B. Sekadau
    Sekadau is a town and regency capital in the Indonesian province of West Kalimantan on the island of Borneo.
  • C. Banjol
    Banjol is a coastal village and popular tourist resort on the island of Rab in Croatia, known for its beaches and seaside promenade.
  • D. Ngantang
    Ngantang is a district in Malang Regency, East Java, Indonesia, known for its cool highland climate and proximity to the Selorejo Dam and surrounding agricultural landscapes.
  • E. Banda-Banda
    Banda-Banda is a dialect of the Central Banda language spoken by Banda communities in the Central African region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e222d6975c8190a512a65d5b0021bb completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff095504819096c36d6c5d131207 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.