Triple

T9066982
Position Surface form Disambiguated ID Type / Status
Subject Hadendoa E217267 entity
Predicate ethnicRegion P1968 FINISHED
Object Red Sea Hills E217268 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: Red Sea Hills | Statement: [Hadendoa, ethnicRegion, Red Sea Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Sea Hills
Context triple: [Hadendoa, ethnicRegion, Red Sea Hills]
  • A. Red Sea Hills chosen
    The Red Sea Hills are a rugged, arid mountain range along the western coast of the Red Sea in northeastern Africa, known for their distinctive desert landscapes and traditional Beja communities.
  • B. Shai Hills
    Shai Hills is a rocky, savanna-covered area in southeastern Ghana known for its scenic landscapes, wildlife, and proximity to Accra.
  • C. Birsay Hills
    Birsay Hills are a range of low, rolling hills forming the highest ground on Orkney’s Mainland in Scotland, known for their open moorland and coastal views.
  • D. Dahra Range
    The Dahra Range is a mountain range in northwestern Algeria that forms part of the Tell Atlas system along the Mediterranean coast.
  • E. Maikal Hills
    Maikal Hills is a forested hilly region in central India forming part of the Satpura Range and serving as a watershed between major river systems.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bde9c08190a4f568fbccc3c3e9 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:11 p.m.