Triple

T9153359
Position Surface form Disambiguated ID Type / Status
Subject Kato E219644 entity
Predicate hasAlternativeTransliteration P5923 FINISHED
Object Katō E445221 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: Katō | Statement: [Kato, hasAlternativeTransliteration, Katō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katō
Context triple: [Kato, hasAlternativeTransliteration, Katō]
  • A. Katō chosen
    Katō is a Japanese surname borne by numerous notable figures in politics, the military, arts, and sports.
  • B. Ichikawa
    Ichikawa is a city in Chiba Prefecture, Japan, located just east of Tokyo and known as a residential and commercial hub within the Greater Tokyo Area.
  • C. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • D. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • E. Takarano
    Takarano is a small settlement on the atoll of Tabiteuea in the island nation of Kiribati, located in the central Pacific Ocean.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca96e323881909cbf4d6708f24f79 completed April 1, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d642c457f08190a79c7161ceadb869 completed April 8, 2026, 11:57 a.m.
Created at: March 30, 2026, 7:20 p.m.