Triple

T10490298
Position Surface form Disambiguated ID Type / Status
Subject Teso E247398 entity
Predicate hasAlternativeName P39 FINISHED
Object Ateso E247396 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: Ateso | Statement: [Teso, hasAlternativeName, Ateso]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ateso
Context triple: [Teso, hasAlternativeName, Ateso]
  • A. Ateso chosen
    Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
  • B. Atessa
    Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
  • C. Bastro
    Bastro is an American post-hardcore and math rock band known for its complex song structures and as a precursor to the experimental rock group Gastr del Sol.
  • D. Atabillos
    Atabillos is a noble title namesake, likely referring to a historical place, family, or lineage associated with the Marquess of the Atabillos.
  • E. Apsaras
    Apsaras are celestial nymphs in Hindu and Buddhist mythology, renowned for their beauty, grace, and skill in dance and music, who often serve as divine entertainers in heavenly realms.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097d61e08190952d4354ef1bce52 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
Created at: April 6, 2026, 12:23 p.m.