Triple

T2559950
Position Surface form Disambiguated ID Type / Status
Subject Caucasian languages (areal grouping) E57217 entity
Predicate hasExampleLanguage P7390 FINISHED
Object Avar E112560 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: Avar | Statement: [Caucasian languages (areal grouping), hasExampleLanguage, Avar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avar
Context triple: [Caucasian languages (areal grouping), hasExampleLanguage, Avar]
  • A. Avar chosen
    Avar is a Northeast Caucasian language spoken primarily by the Avar people in Dagestan and neighboring regions of the North Caucasus.
  • B. Avarua
    Avarua is the main town and administrative, commercial, and cultural center of the Cook Islands, located on the north coast of Rarotonga.
  • C. Avusy
    Avusy is a small rural municipality located in the canton of Geneva in southwestern Switzerland, near the French border.
  • D. Riasti
    Riasti is a regional dialect of the Saraiki language spoken primarily in parts of southern Punjab, Pakistan.
  • E. Xaratanga
    Xaratanga is a principal goddess in the Purépecha (Tarascan) pantheon, associated with fertility, the moon, and the sea in pre-Columbian western Mexico.
  • 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_69abd334b69481908a6f2c0b41550ce9 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d233dbc81909feb1127cffb027f completed March 9, 2026, 11:52 p.m.
Created at: March 6, 2026, 9:48 p.m.