Triple

T4907822
Position Surface form Disambiguated ID Type / Status
Subject Mže E109954 entity
Predicate flowsThrough P225 FINISHED
Object Tachov District E286688 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: Tachov District | Statement: [Mže, flowsThrough, Tachov District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tachov District
Context triple: [Mže, flowsThrough, Tachov District]
  • A. Tachov District chosen
    Tachov District is an administrative district in the western Czech Republic, known for its rural landscape and historical towns, and forms part of the Plzeň Region.
  • B. Muranów district
    Muranów district is a central Warsaw neighborhood historically associated with the former Jewish quarter and the Warsaw Ghetto, now known for its memorials, museums, and postwar residential architecture.
  • C. Pińczów County
    Pińczów County is an administrative district in south-central Poland, known for its rural landscapes, historic towns, and location within the Świętokrzyskie region.
  • D. Radomsko County
    Radomsko County is an administrative district in central Poland known for its seat in the town of Radomsko and its location within the Łódź region.
  • E. Warsaw District
    Warsaw District was an administrative subdivision centered on Warsaw under the Nazi German General Government during World War II.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e7452d481909078a0027e2a4566 completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141085da88190bf5cd0a90914f929 completed March 23, 2026, 1:32 p.m.
Created at: March 20, 2026, 1:29 p.m.