Triple

T9876151
Position Surface form Disambiguated ID Type / Status
Subject Svratka E240077 entity
Predicate flowsThrough P225 FINISHED
Object Žďár nad Sázavou E527016 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: Žďár nad Sázavou | Statement: [Svratka, flowsThrough, Žďár nad Sázavou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Žďár nad Sázavou
Context triple: [Svratka, flowsThrough, Žďár nad Sázavou]
  • A. Žďár nad Sázavou chosen
    Žďár nad Sázavou is a town in the Vysočina Region of the Czech Republic, known for its historic architecture and proximity to the UNESCO-listed Pilgrimage Church of St John of Nepomuk at Zelená Hora.
  • B. Žatec
    Žatec is a historic Czech town in the Ústí nad Labem Region renowned for its long-standing hop-growing tradition and beer production.
  • C. Jindřichův Hradec
    Jindřichův Hradec is a historic Czech town known for its well-preserved Renaissance architecture and one of the largest castle complexes in the country.
  • D. Chrudim
    Chrudim is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval center and cultural heritage.
  • E. Jihlava
    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.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3fb58d481908407898912c4b4e9 completed April 2, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e343941ae481909489cf7a4abdba68 completed April 18, 2026, 8:40 a.m.
Created at: March 30, 2026, 8:37 p.m.