Triple

T12058388
Position Surface form Disambiguated ID Type / Status
Subject Hangu District E287101 entity
Predicate administrativeCenter P1474 FINISHED
Object Hangu E287102 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: Hangu | Statement: [Hangu District, administrativeCenter, Hangu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hangu
Context triple: [Hangu District, administrativeCenter, Hangu]
  • A. Hangu chosen
    Hangu is a town in Pakistan’s Khyber Pakhtunkhwa province known for its strategic location and history of sectarian tensions.
  • B. Hajong
    The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
  • C. Hamhung
    Hamhung is a major city in northeastern North Korea, known as an important industrial center and for its distinctive style of cold noodle dish, Hamhung naengmyeon.
  • D. Hakha
    Hakha is a hill town in western Myanmar that serves as the administrative and cultural center of the Chin people.
  • E. Haenam
    Haenam is a coastal county in South Jeolla Province, South Korea, known for being the country's southernmost mainland point and for its scenic agricultural landscapes.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f651641c8190bfd1d4d228a36209 completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:47 p.m.