Triple

T4474098
Position Surface form Disambiguated ID Type / Status
Subject Náchod E98563 entity
Predicate hasTwinTown P919 FINISHED
Object Broumov E276145 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: Broumov | Statement: [Náchod, hasTwinTown, Broumov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Broumov
Context triple: [Náchod, hasTwinTown, Broumov]
  • A. Broumov chosen
    Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
  • B. Mikulov
    Mikulov is a historic wine-producing town in the South Moravian region of the Czech Republic, known for its chateau, picturesque old town, and proximity to the Pálava Hills.
  • C. Havlíčkův Brod
    Havlíčkův Brod is a historic town in the Vysočina Region of the Czech Republic, situated on the Sázava River and known for its medieval center and long-standing brewing tradition.
  • D. Bražec
    Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • E. Harrachov
    Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
  • 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_69b3454b4ae481908967426dd37284d6 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356bb03f48190a2addcd49c9e470d completed March 13, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd679792f48190a19ce4ab91cab3bc completed March 20, 2026, 3:28 p.m.
Created at: March 12, 2026, 11:35 p.m.