Triple

T4159618
Position Surface form Disambiguated ID Type / Status
Subject Иронтæ E91498 entity
Predicate language P15 FINISHED
Object Ossetian language E22457 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: Ossetian language | Statement: [Иронтæ, language, Ossetian language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ossetian language
Context triple: [Иронтæ, language, Ossetian language]
  • A. Ossetian language chosen
    The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
  • B. Erzya language
    The Erzya language is a Uralic, Finno-Volgaic language spoken primarily by the Erzya Mordvin people in central Russia.
  • C. Lezgian
    Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
  • D. 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.
  • E. Abkhaz–Abaza
    Abkhaz–Abaza is a small Northwest Caucasian language subgroup comprising closely related languages spoken primarily in Abkhazia and parts of the North Caucasus.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af029454d08190b7ff32776081fabc completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f40678481908894ff315932a610 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.