Triple

T12569804
Position Surface form Disambiguated ID Type / Status
Subject Domažlice District E295570 entity
Predicate hasPart P35 FINISHED
Object Chodsko E996526 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: Chodsko | Statement: [Domažlice District, hasPart, Chodsko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chodsko
Context triple: [Domažlice District, hasPart, Chodsko]
  • A. Chodsko chosen
    Chodsko is a historical ethnographic region in southwestern Bohemia, Czech Republic, known for its distinctive folk traditions, dialect, and cultural heritage.
  • B. Zadní Chodov
    Zadní Chodov is a small municipality and village in the Plzeň Region of the Czech Republic.
  • C. Chudniv
    Chudniv is a small urban-type settlement in northern Ukraine known for its historical role in regional trade and its location within Zhytomyr Oblast.
  • D. Chudovo
    Chudovo is a small town in northwestern Russia known for its historical ties to the Novgorod region and its location along important transportation routes between Moscow and St. Petersburg.
  • E. Chechło
    Chechło is a village in southern Poland located near the unique Błędów Desert, one of Europe’s few natural sandy desert areas.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a422c88190a22cc34d2eac00ce completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ef43481909023a82425283f5b completed May 2, 2026, 9:50 p.m.
Created at: April 8, 2026, 11:50 p.m.