Triple

T19096671
Position Surface form Disambiguated ID Type / Status
Subject Operation Linda Nchi E467423 entity
Predicate location P40 FINISHED
Object Gedo 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: Gedo region | Statement: [Operation Linda Nchi, location, Gedo region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gedo region
Context triple: [Operation Linda Nchi, location, Gedo region]
  • A. Gedo region chosen
    Gedo region is an administrative region in southwestern Somalia known for its strategic location bordering Kenya and Ethiopia and its predominantly Somali pastoralist communities.
  • B. Okutama region
    The Okutama region is a mountainous, forested area on the western edge of Tokyo known for its hiking trails, rivers, and natural scenery.
  • C. 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.
  • D. Hiran region
    Hiran region is an administrative region in central Somalia known for its strategic location along the Shabelle River and its capital, Beledweyne.
  • E. Geita Region
    Geita Region is an administrative region in northwestern Tanzania, known for its significant gold mining activities and proximity to Lake Victoria.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e369aeac81908913c21f4c234c8e completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.