Triple

T5491944
Position Surface form Disambiguated ID Type / Status
Subject Asian Turkey E123721 entity
Predicate containsCity P294 FINISHED
Object Yozgat E318101 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: Yozgat | Statement: [Asian Turkey, containsCity, Yozgat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yozgat
Context triple: [Asian Turkey, containsCity, Yozgat]
  • A. Yozgat chosen
    Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
  • B. Sirdaryo
    Sirdaryo is the Uzbek name for the Syr Darya, a major river in Central Asia that flows through countries such as Uzbekistan, Tajikistan, and Kazakhstan.
  • C. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • D. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • E. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9280403c8190baaa3f7923449a37 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.