Triple

T18365175
Position Surface form Disambiguated ID Type / Status
Subject Rheinfelden (Aargau) E440023 entity
Predicate observesDaylightSavingTime P384 FINISHED
Object CEST 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: CEST | Statement: [Rheinfelden (Aargau), observesDaylightSavingTime, CEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEST
Context triple: [Rheinfelden (Aargau), observesDaylightSavingTime, CEST]
  • A. CEST chosen
    CEST is the daylight saving time observed in many Central European countries, typically running one hour ahead of Central European Time.
  • B. CESCE
    CESCE is a Spanish state-backed credit insurance and risk management company that has played a key role in the ownership and development of the technology and consulting firm Indra Sistemas.
  • C. CST
    CST is a prominent Chicago-based theater company renowned for its innovative productions of Shakespearean and other classic and contemporary works.
  • D. CST
    CST is the National Rail station code for London Cannon Street railway station in central London.
  • E. CST
    CST is the commonly used abbreviation for the College of Science and Technology, an academic unit focused on education and research in scientific and technological disciplines.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5174d31608190851a5bab6878c203 completed April 19, 2026, 5:56 p.m.
Created at: April 10, 2026, 10:38 a.m.