Triple

T8788950
Position Surface form Disambiguated ID Type / Status
Subject Bohuslav Martinů E209110 entity
Predicate buriedIn P196 FINISHED
Object Polička E757735 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: Polička | Statement: [Bohuslav Martinů, buriedIn, Polička]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polička
Context triple: [Bohuslav Martinů, buriedIn, Polička]
  • A. Polička chosen
    Polička is a historic town in the Pardubice Region of the Czech Republic, known for its well-preserved medieval fortifications and as the birthplace of composer Bohuslav Martinů.
  • B. Poličnik
    Poličnik is a municipality in Croatia located near the city of Zadar on the Adriatic coast.
  • C. Podyjí
    Podyjí is a protected national park area in the Czech Republic known for its deep Dyje River valley, diverse ecosystems, and well-preserved natural landscapes.
  • D. Podolínec
    Podolínec is a historic town in the Spiš region of northern Slovakia, known for its well-preserved medieval architecture and former royal privileges.
  • E. Krompachy
    Krompachy is a small industrial town in eastern Slovakia known historically for its ironworks and metalworking industry.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f8b0c108190af53d4bb9b132c5c completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f493f648190b0e9392f1abb44a1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.