Triple

T17387573
Position Surface form Disambiguated ID Type / Status
Subject Nohur people E422726 entity
Predicate region P40 FINISHED
Object Nohur region 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: Nohur region | Statement: [Nohur people, region, Nohur region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nohur region
Context triple: [Nohur people, region, Nohur region]
  • A. Nohur region chosen
    The Nohur region is a remote mountainous area in southern Turkmenistan known for its distinct local culture, traditions, and dialect.
  • B. Hantam region
    The Hantam region is a semi-arid area in South Africa’s Northern Cape known for its sheep farming, spring wildflower displays, and small Karoo towns such as Calvinia.
  • C. Karas Region
    Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
  • D. Tumapel region
    The Tumapel region was a historical area in East Java that became the power base of Ken Angrok and the cradle of the Singhasari kingdom in early Javanese history.
  • E. Kohat region
    The Kohat region is an area in northwestern Pakistan known for its diverse ethnic makeup, including a significant population of Hindko-speaking people.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a8a93f48190a31f5cc58d950758 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.