Triple

T13601600
Position Surface form Disambiguated ID Type / Status
Subject Greek–Albanian border E324954 entity
Predicate passesNearCity P3945 FINISHED
Object Kastoria 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 | Statement: [Greek–Albanian border, passesNearCity, Kastoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kastoria
Context triple: [Greek–Albanian border, passesNearCity, 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. Nikolaev
    Nikolaev is the Russian-language name for Mykolaiv, a major shipbuilding and industrial city in southern Ukraine located near the Black Sea.
  • D. Votkinsk
    Votkinsk is a Russian town in Udmurtia best known as the birthplace of composer Pyotr Ilyich Tchaikovsky.
  • E. Kirovo
    Kirovo was the Soviet-era name for the Ukrainian city now known as Kropyvnytskyi, reflecting its renaming in honor of Bolshevik leader Sergei Kirov.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ad3f48190a2173e42c5cfedb1 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bcde38c8190bc773c3afce75723 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.