Triple

T15597121
Position Surface form Disambiguated ID Type / Status
Subject Schönberg im Taunus E374929 entity
Predicate timeZone 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: [Schönberg im Taunus, timeZone, CEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEST
Context triple: [Schönberg im Taunus, timeZone, 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 National Rail station code for London Cannon Street railway station in central London.
  • D. 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.
  • E. CST
    CST is the abbreviation for the Communications Security Establishment, Canada’s national cryptologic agency responsible for foreign signals intelligence and cybersecurity.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e609ab081909feb486a57439960 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ca72ec8190a237db843dc6d625 completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.