Triple

T10461441
Position Surface form Disambiguated ID Type / Status
Subject Western Sudetes E246682 entity
Predicate hasSettlement P1068 FINISHED
Object Harrachov E260494 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: Harrachov | Statement: [Western Sudetes, hasSettlement, Harrachov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harrachov
Context triple: [Western Sudetes, hasSettlement, Harrachov]
  • A. Harrachov chosen
    Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
  • B. 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.
  • C. Chrudim
    Chrudim is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval center and cultural heritage.
  • D. Chomutov
    Chomutov is a city in the northwest of the Czech Republic known for its industrial heritage and location near the Ore Mountains.
  • E. Bražec
    Bražec is a small village and administrative part of the town of Náchod in the Hradec Králové Region of the Czech Republic.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50883b62c819082711b8c9fd968e3 completed April 7, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f018324bf88190bcd2bf168b1065d3 completed April 28, 2026, 2:15 a.m.
Created at: April 6, 2026, 12:19 p.m.