Triple

T10806700
Position Surface form Disambiguated ID Type / Status
Subject Kitasato Institute E254984 entity
Predicate headquartersLocation P62 FINISHED
Object Minato, Tokyo E53522 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: Minato, Tokyo | Statement: [Kitasato Institute, headquartersLocation, Minato, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minato, Tokyo
Context triple: [Kitasato Institute, headquartersLocation, Minato, Tokyo]
  • A. Kōtō, Tokyo
    Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
  • B. Minato, Tokyo, Japan chosen
    Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
  • C. Minato
    Minato is a central special ward of Tokyo known for its major business districts, foreign embassies, and landmarks such as Tokyo Tower and Roppongi.
  • D. Suginami, Tokyo
    Suginami, Tokyo is a residential ward in western Tokyo known for its concentration of anime studios, local shopping streets, and quieter suburban character compared to central Tokyo.
  • E. Toshima, Tokyo
    Toshima, Tokyo is a special ward in northwestern Tokyo known for its major commercial and entertainment hub Ikebukuro and its mix of residential, educational, and cultural institutions.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b3f92c8190bcc85db22d77bb7d completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b196bc8190a643f2b534497476 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:18 p.m.