Triple

T16188902
Position Surface form Disambiguated ID Type / Status
Subject Adi Keyh E392881 entity
Predicate locatedIn P40 FINISHED
Object Debub Region E392879 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: Debub Region | Statement: [Adi Keyh, locatedIn, Debub Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debub Region
Context triple: [Adi Keyh, locatedIn, Debub Region]
  • A. Debub Region chosen
    Debub Region is an administrative region in southern Eritrea known for its agricultural highlands and historical sites.
  • B. 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.
  • C. Omusati Region
    Omusati Region is an administrative region in northwestern Namibia known for its predominantly rural communities, subsistence agriculture, and proximity to the Angolan border.
  • D. Dikhil Region
    Dikhil Region is an administrative region in southwestern Djibouti known for its arid landscapes, border location near Ethiopia, and the town of Dikhil as its capital.
  • E. Nohur region
    The Nohur region is a remote mountainous area in southern Turkmenistan known for its distinct local culture, traditions, and dialect.
  • 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_69e222d3a8e48190bdf29a633f4b0490 completed April 17, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff0750f08190a2fce65124d8dcc0 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:02 a.m.