Triple

T16328600
Position Surface form Disambiguated ID Type / Status
Subject Kantōshū E396487 entity
Predicate capital P234 FINISHED
Object Dairen E395522 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: Dairen | Statement: [Kantōshū, capital, Dairen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dairen
Context triple: [Kantōshū, capital, Dairen]
  • A. Dairen chosen
    Dairen, now known as Dalian, is a major port city in northeastern China that historically served as an important strategic and commercial hub under various foreign leases and administrations.
  • B. Kierling
    Kierling is a small locality in Lower Austria best known as the place where writer Franz Kafka spent his final days and died.
  • C. Dushun
    Dushun was a 7th-century Chinese Buddhist monk traditionally regarded as the founding patriarch of the Huayan school of Mahayana Buddhism.
  • D. Yupa
    Yupa is an indigenous Cariban language spoken by the Yukpa people in parts of Colombia and Venezuela.
  • E. Dolgan
    Dolgan is a Turkic language spoken primarily by the Dolgan people in northern Siberia, especially in Russia’s Taymyr Peninsula.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4ddc5608190b24fe2e871691470 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003c4ca7ac819098cae8aabfe7e395 completed May 10, 2026, 8:05 a.m.
Created at: April 10, 2026, 5:07 a.m.