Triple

T16557334
Position Surface form Disambiguated ID Type / Status
Subject Beledweyne E402243 entity
Predicate commercialCenterOf P16032 FINISHED
Object Hiran 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: Hiran region | Statement: [Beledweyne, commercialCenterOf, Hiran region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hiran region
Context triple: [Beledweyne, commercialCenterOf, Hiran region]
  • A. Hiran region chosen
    Hiran region is an administrative region in central Somalia known for its strategic location along the Shabelle River and its capital, Beledweyne.
  • B. Hokusetsu region
    The Hokusetsu region is an area in northern Osaka Prefecture, Japan, known for its suburban cities and natural landscapes centered around the Hokusetsu Mountains.
  • C. Gedo region
    Gedo region is an administrative region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its predominantly Somali pastoralist communities.
  • D. Oshikoto Region
    Oshikoto Region is an administrative region in northern Namibia known for its mix of rural communities, agriculture, and the town of Tsumeb as its economic center.
  • E. Kōga region
    The Kōga region is a historic area in Japan famed as one of the principal centers of ninja (shinobi) activity alongside Iga.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fca6db8819098c4f3919bb052d8 completed April 18, 2026, 9:32 a.m.
Created at: April 10, 2026, 5:15 a.m.