Triple

T17717281
Position Surface form Disambiguated ID Type / Status
Subject Cheb District E442231 entity
Predicate contains P35 FINISHED
Object NE NERFINISHED

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: Aš | Statement: [Cheb District, contains, Aš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aš
Context triple: [Cheb District, contains, Aš]
  • A. chosen
    Aš is a town in the Karlovy Vary Region of the Czech Republic, located near the German border and known for its textile industry and borderland history.
  • B. Aku
    Aku is the shape-shifting demon overlord and primary villain who rules the dystopian future opposed by Samurai Jack in the animated series "Samurai Jack."
  • C. Aš–Selb
    Aš–Selb is an international border crossing point between the Czech town of Aš and the German town of Selb in the Czech Republic–Germany border region.
  • D. Ako
    Ako is a coastal city in southwestern Hyogo Prefecture, Japan, historically known for its salt production and the story of the Forty-seven Ronin.
  • E. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47481663c8190a1110385e5596ab0 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.