Triple

T17273843
Position Surface form Disambiguated ID Type / Status
Subject Hodonín E419333 entity
Predicate hasRailwayConnectionTo P3791 FINISHED
Object Uherské Hradiště E464982 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: Uherské Hradiště | Statement: [Hodonín, hasRailwayConnectionTo, Uherské Hradiště]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uherské Hradiště
Context triple: [Hodonín, hasRailwayConnectionTo, Uherské Hradiště]
  • A. Uherské Hradiště chosen
    Uherské Hradiště is a historic town in the Zlín Region of the Czech Republic, known as a cultural center of the Moravian Slovakia ethnographic area.
  • B. Strakonice
    Strakonice is a historic town in the Czech Republic known for its medieval castle and traditional bagpipe festival.
  • C. Humpolec
    Humpolec is a town in the Czech Republic known for its location in the Bohemian-Moravian Highlands and its historical textile and brewing industries.
  • D. Hradek nad Nisou
    Hrádek nad Nisou is a small town in the Liberec Region of the Czech Republic, near the borders with Germany and Poland.
  • E. Jablunkov
    Jablunkov is a small historic town in the eastern Czech Republic, near the borders with Poland and Slovakia, known for its multicultural Silesian heritage.
  • 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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42f4c209c81909c713ed78f2cb19a completed April 19, 2026, 1:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0195488d2c81908ac6c19f54f61796 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 5:40 a.m.