Triple

T9350240
Position Surface form Disambiguated ID Type / Status
Subject Eritrean Highlands E224996 entity
Predicate administrativeRegion P285 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: [Eritrean Highlands, administrativeRegion, Debub Region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Debub Region
Context triple: [Eritrean Highlands, administrativeRegion, 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4f9248c08190a7bb40feec2eb217 completed April 1, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0e43c31008190b542a9c5aa33f30e completed April 4, 2026, 10:13 a.m.
Created at: March 30, 2026, 7:41 p.m.