Triple

T16278153
Position Surface form Disambiguated ID Type / Status
Subject 佐藤 E395188 entity
Predicate hasKunreiRomanization P2508 FINISHED
Object Sato NE NERFINISHED

How this triple was built (3 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: Sato | Statement: [佐藤, hasKunreiRomanization, Sato]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sato
Context triple: [佐藤, hasKunreiRomanization, Sato]
  • A. Satō chosen
    Satō is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • B. Saito
    Saito is a Japanese surname commonly borne by notable figures in fields such as politics, sports, and the arts.
  • C. Tanaka
    Tanaka is a common Japanese surname borne by numerous notable figures in politics, arts, sports, and other fields.
  • D. Matsuda
    Matsuda is a small town in Kanagawa Prefecture, Japan, known for its scenic views of Mount Fuji and seasonal flower festivals.
  • E. Sumio
    Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKunreiRomanization
Context triple: [佐藤, hasKunreiRomanization, Sato]
  • A. hasHakkaRomanization
    Indicates that an entity is associated with a specific representation of its name or term in Hakka Romanization.
  • B. hasRomanizationOf chosen
    Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
  • C. hasNameInKanji
    Indicates that an entity is associated with a specific written form of its name in Kanji characters.
  • D. usesKatakanaFor
    Indicates that one entity is written or represented using katakana script in relation to another entity.
  • E. hasRomanizationStandard
    Indicates that an entity’s romanized form follows a specified romanization standard or system.
  • F. None of above.

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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2460f73648190b5c931f2ba2a09da completed April 17, 2026, 2:39 p.m.
PD Predicate disambiguation batch_69e219f68d308190b71c1601303f0628 completed April 17, 2026, 11:31 a.m.
Created at: April 10, 2026, 5:05 a.m.