Triple

T10676258
Position Surface form Disambiguated ID Type / Status
Subject Jaroměř E251624 entity
Predicate locatedSouthOf P9676 FINISHED
Object Náchod E263301 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: Náchod | Statement: [Jaroměř, locatedSouthOf, Náchod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Náchod
Context triple: [Jaroměř, locatedSouthOf, Náchod]
  • A. Náchod chosen
    Náchod is a historic town in northeastern Bohemia, Czech Republic, known for its castle overlooking the Metuje River and its proximity to the Polish border.
  • B. Svidník
    Svidník is a small town in northeastern Slovakia known for its World War II memorials, open-air museum of folk architecture, and its location in the culturally rich Šariš region.
  • C. Pezinok
    Pezinok is a historic wine-producing town in western Slovakia known for its vineyards, wine festivals, and proximity to the Little Carpathians.
  • D. Slaný
    Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
  • E. Bruntál
    Bruntál is a historic town in the Moravian-Silesian Region of the Czech Republic, known as one of the oldest towns in the country and a gateway to the Jeseníky Mountains.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb94b05c8190b66bf64f5c6d166b completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154679bb88190b2fffeea74d1fc50 completed April 16, 2026, 9:28 p.m.
Created at: April 8, 2026, 9:09 p.m.