Triple

T22150569
Position Surface form Disambiguated ID Type / Status
Subject Abzhua area E547400 entity
Predicate hasNameVariant P457 FINISHED
Object Abzhywa area NE NERFINISHED

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: Abzhywa area | Statement: [Abzhua area, hasNameVariant, Abzhywa area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abzhywa area
Context triple: [Abzhua area, hasNameVariant, Abzhywa area]
  • A. Abzhywa area chosen
    The Abzhywa area is a historical region traditionally inhabited by Abkhaz people, known as the homeland of the Abzhywa dialect.
  • B. Abzhua area
    The Abzhua area is a historical region in Abkhazia traditionally associated with the Abzhywa (Abzhua) subgroup of the Abkhaz people and their dialect.
  • C. Awaza area
    Awaza area is a neighborhood within Osaka known for its urban residential character and convenient access to central city districts.
  • D. Yakimanka area
    Yakimanka area is a central district of Moscow known for its historic streets, cultural institutions, and proximity to the Moscow River.
  • E. Arearea
    Arearea is a vibrant 1892 oil painting by Paul Gauguin that depicts Tahitian women and a dog in a lush, symbolic landscape, exemplifying his post-Impressionist style and fascination with Polynesian culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f37dac8190a7cecb12f4271515 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.