Triple

T9085138
Position Surface form Disambiguated ID Type / Status
Subject Beroun E217732 entity
Predicate timeZoneDST P109 FINISHED
Object CEST E5930 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: CEST | Statement: [Beroun, timeZoneDST, CEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEST
Context triple: [Beroun, timeZoneDST, 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 the time zone used throughout mainland China, eight hours ahead of Coordinated Universal Time (UTC+8).
  • 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 (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_69ca83d7a0388190ba1af89ed7ba36f9 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc960d0b008190b0e9e61fac45101d completed April 1, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe38f0048190a9fb15e73d9bcd50 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:13 p.m.