Triple

T5709507
Position Surface form Disambiguated ID Type / Status
Subject Abkhaz–Abaza E125868 entity
Predicate hasAlternativeName P39 FINISHED
Object Abkhaz–Abazian E125868 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: Abkhaz–Abazian | Statement: [Abkhaz–Abaza, hasAlternativeName, Abkhaz–Abazian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abkhaz–Abazian
Context triple: [Abkhaz–Abaza, hasAlternativeName, Abkhaz–Abazian]
  • A. Abkhaz–Abaza chosen
    Abkhaz–Abaza is a small Northwest Caucasian language subgroup comprising closely related languages spoken primarily in Abkhazia and parts of the North Caucasus.
  • B. Abkhaz language
    The Abkhaz language is a Northwest Caucasian language spoken primarily in Abkhazia and parts of the Caucasus region, known for its complex consonant system and relatively small vowel inventory.
  • C. Adyghe
    Adyghe are a Northwest Caucasian ethnic group, also known as Circassians, indigenous to the northwestern Caucasus region.
  • D. Lezgian
    Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
  • E. Adygeysk
    Adygeysk is a small town in southwestern Russia that serves as one of the urban centers of the Republic of Adygea.
  • 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_69c0082d6fe48190b777fb383769e5c8 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0248c3dac8190824fca9ddde89665 completed March 22, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b0b3412c8190a4b97863e060e928 completed March 23, 2026, 3:17 a.m.
Created at: March 22, 2026, 3:46 p.m.