Triple

T8778086
Position Surface form Disambiguated ID Type / Status
Subject Oegstgeest E208647 entity
Predicate timezoneDST P2161 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: [Oegstgeest, timezoneDST, CEST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEST
Context triple: [Oegstgeest, 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 abbreviation for the Communications Security Establishment, Canada’s national cryptologic agency responsible for foreign signals intelligence and cybersecurity.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51d69af481909245ca327f36e9c2 completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.