Triple

T14762101
Position Surface form Disambiguated ID Type / Status
Subject Kōtō, Tokyo, Japan E346890 entity
Predicate containsDistrict P22582 FINISHED
Object Shinonome E1067068 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: Shinonome | Statement: [Kōtō, Tokyo, Japan, containsDistrict, Shinonome]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinonome
Context triple: [Kōtō, Tokyo, Japan, containsDistrict, Shinonome]
  • A. Shinonome chosen
    Shinonome is a district in Kōtō, Tokyo, known for its modern waterfront residential developments and proximity to the Tokyo Bay area.
  • B. Katsumi
    Katsumi is a minor character appearing in the story "Sayonara," contributing to its supporting cast and narrative development.
  • C. Saeki no Kuramoto
    Saeki no Kuramoto is a historical Japanese figure traditionally credited with establishing the famous Itsukushima Shrine on Miyajima Island.
  • D. Aishō
    Aishō is a town in Shiga Prefecture, Japan, known for its rural character and historical sites.
  • E. Hyakuichi Shinron
    Hyakuichi Shinron is a major philosophical work by Japanese thinker Nishi Amane that helped introduce and systematize Western philosophy and logic in modern Japan.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f207dc819088a53f717736a121 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf24c0081909221cb7d761e882f completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.