Triple

T3899954
Position Surface form Disambiguated ID Type / Status
Subject Krušné hory E90460 entity
Predicate contains P35 FINISHED
Object Boží Dar E396894 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: Boží Dar | Statement: [Krušné hory, contains, Boží Dar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boží Dar
Context triple: [Krušné hory, contains, Boží Dar]
  • A. Boží Dar chosen
    Boží Dar is a small Czech mountain town in the Ore Mountains, known as one of the highest-elevated towns in Central Europe and a popular winter sports and tourist destination.
  • B. Tále
    Tále is a popular ski resort and recreational area in the Low Tatras mountains of central Slovakia, known for its slopes, golf course, and year-round outdoor activities.
  • C. Ditat Deus
    Ditat Deus is the Latin state motto of Arizona, meaning "God enriches" or "God gives wealth."
  • D. Na Gode
    "Na Gode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its themes of gratitude and its blend of contemporary and traditional musical elements.
  • E. the Pious
    "the Pious" is an honorific epithet traditionally given to rulers or nobles renowned for their devout religious observance and moral conduct.
  • 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_69aed95d315881908cbf1bf4a7215fbf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecf17ef4819083db0a22e24d5b89 completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5337f3ae08190ba68fc20a3ba4692 completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:21 p.m.