Triple

T15945425
Position Surface form Disambiguated ID Type / Status
Subject Sidamu Afoo E386670 entity
Predicate hasNeighbouringLanguage P16383 FINISHED
Object Hadiyya E837597 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: Hadiyya | Statement: [Sidamu Afoo, hasNeighbouringLanguage, Hadiyya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadiyya
Context triple: [Sidamu Afoo, hasNeighbouringLanguage, Hadiyya]
  • A. Hadiyya chosen
    Hadiyya is a Cushitic language spoken primarily by the Hadiya people in southern Ethiopia.
  • B. Hawiyah
    Hawiyah is a major gas plant and associated residential/industrial area in eastern Saudi Arabia that supports processing operations for the vast Ghawar oil field.
  • C. Hawiyah
    Hawiyah is an Islamic eschatological term referring to a deep abyss of Hell reserved for those whose evil deeds outweigh their good.
  • D. Hasbaya
    Hasbaya is a historic town in southern Lebanon known for its strategic location near Mount Hermon and its traditional Druze and Christian communities.
  • E. Zahwa
    Zahwa is a feminine given name of Arabic origin, often interpreted to mean "radiance" or "beauty."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d0d55c8190af59ff169e8add78 completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5beabbc8190977f14c1b3ccdf29 completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.