Triple

T4241397
Position Surface form Disambiguated ID Type / Status
Subject Kastoria (regional unit) E95419 entity
Predicate administrativeCenter P1474 FINISHED
Object Kastoria (city) E136980 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: Kastoria (city) | Statement: [Kastoria (regional unit), administrativeCenter, Kastoria (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastoria (city)
Context triple: [Kastoria (regional unit), administrativeCenter, Kastoria (city)]
  • 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. Kastornoye
    Kastornoye is a locality in Russia historically notable as the namesake and focal area of the Voronezh–Kastornoye military offensive during World War II.
  • C. Krasnaya Sloboda
    Krasnaya Sloboda is a historic all-Jewish settlement in northern Azerbaijan, known as one of the world's only exclusively Mountain Jewish towns.
  • D. Zhigulevsk
    Zhigulevsk is an industrial city in Russia located on the Volga River, known for its proximity to the Zhiguli Mountains and the Zhiguli Hydroelectric Station.
  • E. Alchevsk
    Alchevsk is an industrial city in eastern Ukraine known for its steel and metallurgical plants.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e87c9d88190a093b1289df5b974 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c710c2f081908b9be1da2bdf1b43 completed March 14, 2026, 8:37 p.m.
Created at: March 12, 2026, 11:05 p.m.