Triple

T2558819
Position Surface form Disambiguated ID Type / Status
Subject Mohave E57192 entity
Predicate hasAlternativeName P39 FINISHED
Object Aha Makhav E2259 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: Aha Makhav | Statement: [Mohave, hasAlternativeName, Aha Makhav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aha Makhav
Context triple: [Mohave, hasAlternativeName, Aha Makhav]
  • A. Aha Makhav chosen
    Aha Makhav is the endonym used by the Mojave people to refer to themselves and their cultural identity.
  • B. Usakhelauri
    Usakhelauri is a rare and highly prized Georgian red wine known for its natural sweetness, aromatic complexity, and limited production in the mountainous Racha region.
  • C. Negusa Nagast
    Negusa Nagast is the traditional Ge'ez title meaning "King of Kings," historically used by Ethiopian emperors as a symbol of supreme imperial authority.
  • D. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • E. Akhasheni
    Akhasheni is a Georgian red wine appellation from the Kakheti region, known for its naturally semi-sweet wines made primarily from Saperavi grapes.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd333370c8190b1d64ec99e999913 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d2061108190b6250d2943736ae4 completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.