Triple

T22150571
Position Surface form Disambiguated ID Type / Status
Subject Abzhua area E547400 entity
Predicate hasNameVariant P457 FINISHED
Object Abzhywa 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 | Statement: [Abzhua area, hasNameVariant, Abzhywa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abzhywa
Context triple: [Abzhua area, hasNameVariant, Abzhywa]
  • A. Abzhywa chosen
    Abzhywa is an ethnolinguistic subgroup of the Abkhaz people traditionally inhabiting the Abzhywa region of Abkhazia in the South Caucasus.
  • B. Asenie
    Asenie is one of the traditional matrilineal clans of the Akan people of West Africa, associated with shared ancestry, identity, and social obligations.
  • C. Zawady
    Zawady is a village located in Rawa County in central Poland.
  • D. Marzahna
    Marzahna is a village and locality that forms part of the town of Treuenbrietzen in the German state of Brandenburg.
  • E. Buchlyvie
    Buchlyvie is a small rural village in central Scotland, situated between Stirling and Loch Lomond, known for its agricultural surroundings and historic character.
  • 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.