Triple

T636515
Position Surface form Disambiguated ID Type / Status
Subject Turkmen language E16633 entity
Predicate closelyRelatedTo P37 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: [Turkmen language, closelyRelatedTo, Gagauz language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gagauz language
Context triple: [Turkmen language, closelyRelatedTo, 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. 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. Romanian language
    Romanian is a Romance language spoken primarily in Romania and Moldova, notable for preserving many features of Latin while incorporating significant Slavic and Balkan influences.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee7fdbc8190858e42bb1bfdb3ff completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57405d6f48190b55542d50d3a1f22 completed March 2, 2026, 11:27 a.m.
Created at: March 1, 2026, 7:35 p.m.