Triple

T13110633
Position Surface form Disambiguated ID Type / Status
Subject Cheb region E310960 entity
Predicate contains P35 FINISHED
Object Cheb District E442231 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: Cheb District | Statement: [Cheb region, contains, Cheb District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheb District
Context triple: [Cheb region, contains, Cheb District]
  • A. Cheb District chosen
    Cheb District is an administrative district in the western Czech Republic, bordering Germany and known for its historic town of Cheb and surrounding spa and natural areas.
  • B. Nazyan District
    Nazyan District is an administrative district in eastern Afghanistan known for its predominantly Pashtun population and location within Nangarhar Province near the Pakistan border.
  • C. Siha District
    Siha District is an administrative district in northern Tanzania, located within the Kilimanjaro Region near the slopes of Mount Kilimanjaro.
  • D. Maran District
    Maran District is an administrative district in the state of Pahang, Malaysia, known for its rural landscape and agricultural activities.
  • E. Gouraya District
    Gouraya District is an administrative district located within Algeria’s coastal Tipaza Province, known for its Mediterranean shoreline and proximity to the Gouraya National Park area.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817e4f408190b77c198b4157d77a completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f0ff20081909f277d9c8dc8b043 completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:05 p.m.