Triple

T17795471
Position Surface form Disambiguated ID Type / Status
Subject Jihlava (river) E444278 entity
Predicate namedAfter P63 FINISHED
Object Jihlava (city) 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: Jihlava (city) | Statement: [Jihlava (river), namedAfter, Jihlava (city)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jihlava (city)
Context triple: [Jihlava (river), namedAfter, Jihlava (city)]
  • A. Jihlava chosen
    Jihlava is a historic city in the Czech Republic, known as one of the country’s oldest mining towns and a regional cultural and administrative center.
  • B. Jihlava
    Jihlava is a river in the Czech Republic that flows through the historical region of Moravia, including the city of Jihlava, before joining the Svratka River.
  • C. Jihlava District
    Jihlava District is an administrative district in the Czech Republic, centered around the city of Jihlava and known for its historical mining heritage and location in the central highlands.
  • D. Žatec
    Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
  • E. Moravské Budějovice
    Moravské Budějovice is a small historic town in the Czech Republic known for its traditional architecture and regional cultural heritage.
  • 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_69d8b9efe370819095cd219b143ae727 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48799f9608190bc97264c849278a0 completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:13 a.m.