Triple

T18846442
Position Surface form Disambiguated ID Type / Status
Subject Philipp Franz von Siebold E460928 entity
Predicate workedAt P7 FINISHED
Object Dejima NE NERFINISHED

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: Dejima | Statement: [Philipp Franz von Siebold, workedAt, Dejima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dejima
Context triple: [Philipp Franz von Siebold, workedAt, Dejima]
  • A. Dejima chosen
    Dejima was a small artificial island in Nagasaki Bay that served as the Dutch trading post and Japan’s primary window to the Western world during its period of national isolation (sakoku).
  • B. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • C. Manazuru
    Manazuru is a small coastal town in Kanagawa Prefecture, Japan, known for its scenic peninsula, fishing industry, and views of Sagami Bay.
  • D. Kudanshita
    Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
  • E. Kitaiōjima
    Kitaiōjima is the former name of Kita Iōtō, a small volcanic island in the Ogasawara Islands of Japan known for its remote location and military history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ee96988190bf247b986777945c completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.