Triple

T14424766
Position Surface form Disambiguated ID Type / Status
Subject Tholen (island) E357666 entity
Predicate locatedInTimeZone 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: [Tholen (island), locatedInTimeZone, CET]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CET
Context triple: [Tholen (island), locatedInTimeZone, 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. 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.
  • C. 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.
  • D. CUET
    CUET is a leading public engineering university in Bangladesh located in Chittagong, specializing in engineering, technology, and architecture education and research.
  • E. Test of English as a Foreign Language
    The Test of English as a Foreign Language (TOEFL) is a standardized exam that measures the English language proficiency of non-native speakers for academic and professional purposes, especially for admission to universities in English-speaking countries.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91123f848190ba3fb18a76c2d24c completed April 14, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bcd2a908190ad7d5ebf11b41551 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.