Triple

T17174357
Position Surface form Disambiguated ID Type / Status
Subject Otterlo E416819 entity
Predicate usesTimeZone P109 FINISHED
Object CET E5929 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: CET | Statement: [Otterlo, usesTimeZone, CET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CET
Context triple: [Otterlo, usesTimeZone, CET]
  • A. CET chosen
    CET is the standard time zone used by many countries in central Europe, typically one hour ahead of Coordinated Universal Time (UTC+1).
  • B. CET
    CET is a College of Engineering and Technology offering undergraduate and postgraduate programs in various engineering and technological disciplines.
  • C. CETS
    CETS is the standard abbreviation for the Council of Europe’s official treaty publication series, which compiles and numbers all conventions and agreements concluded within the organization.
  • D. GCET
    GCET is an internationally recognized framework established by the UN World Tourism Organization that sets out principles to promote responsible, sustainable, and universally accessible tourism.
  • E. CUET
    CUET is a leading public engineering university in Bangladesh located in Chittagong, specializing in engineering, technology, and architecture education and research.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.