Triple

T1428398
Position Surface form Disambiguated ID Type / Status
Subject Turks E30386 entity
Predicate relatedEthnicGroup P1969 FINISHED
Object Gagauz 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 | Statement: [Turks, relatedEthnicGroup, Gagauz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gagauz
Context triple: [Turks, relatedEthnicGroup, Gagauz]
  • A. Gagauz chosen
    The Gagauz are a Turkic-speaking Orthodox Christian ethnic group primarily living in Moldova and neighboring regions of Eastern Europe.
  • B. Adyghe
    Adyghe are a Northwest Caucasian ethnic group, also known as Circassians, indigenous to the northwestern Caucasus region.
  • C. Talysh
    The Talysh are an Iranian ethnic group primarily inhabiting the southwestern coast of the Caspian Sea in northern Iran and southeastern Azerbaijan, with their own distinct Talysh language and cultural traditions.
  • D. Ossetians
    Ossetians are an Iranian-speaking ethnic group native to the central Caucasus, primarily inhabiting the region of Ossetia divided between Russia and Georgia.
  • E. Dargin
    Dargin is a Northeast Caucasian language spoken primarily by the Dargin people in the Republic of Dagestan in Russia.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4d9575881908bb58598e5a80590 completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad08b35da08190b8c09ad393f310e3 completed March 8, 2026, 5:27 a.m.
Created at: March 1, 2026, 8 p.m.