Triple

T4742920
Position Surface form Disambiguated ID Type / Status
Subject Oghuz Turkic language E105288 entity
Predicate includesLanguage P2177 FINISHED
Object Gagauz language E45586 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: Gagauz language | Statement: [Oghuz Turkic language, includesLanguage, Gagauz language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gagauz language
Context triple: [Oghuz Turkic language, includesLanguage, Gagauz language]
  • A. Gagauz chosen
    The Gagauz are a Turkic-speaking Orthodox Christian ethnic group primarily living in Moldova and neighboring regions of Eastern Europe.
  • B. Ossetian language
    The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
  • C. Crimean Tatar language
    The Crimean Tatar language is a Turkic language traditionally spoken by the indigenous Crimean Tatar people of the Crimean Peninsula.
  • D. Kubachi language
    The Kubachi language is a Northeast Caucasian (Dagestanian) language spoken by the Kubachi people in Dagestan, Russia, known for its complex grammar and rich consonant system.
  • E. Lezgian
    Lezgian is a Northeast Caucasian language spoken primarily by the Lezgin people in southern Dagestan and northern Azerbaijan.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64a85e9c81908e9c7bbbb998953e completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a309a408190836c51d0fe85c5d8 completed March 21, 2026, 6:26 a.m.
Created at: March 20, 2026, 1:19 p.m.