Triple

T17440951
Position Surface form Disambiguated ID Type / Status
Subject Mavrochori E424648 entity
Predicate locatedNear P294 FINISHED
Object Kastoria NE NERFINISHED

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: Kastoria | Statement: [Mavrochori, locatedNear, Kastoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastoria
Context triple: [Mavrochori, locatedNear, Kastoria]
  • A. Kastoria chosen
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • B. Makeyevka
    Makeyevka is an industrial city in eastern Ukraine’s Donetsk Oblast, historically known for its coal mining and metallurgical industries.
  • C. Novozybkov
    Novozybkov is a town in western Russia known as a local administrative and economic center near the borders with Belarus and Ukraine.
  • D. Nikolaev
    Nikolaev is the Russian-language name for Mykolaiv, a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
  • E. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff75538819083f77756d39a1aaa completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.