Triple

T9206476
Position Surface form Disambiguated ID Type / Status
Subject Zojo-ji Temple E220992 entity
Predicate movedTo P195 FINISHED
Object Shiba, Tokyo E527494 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: Shiba, Tokyo | Statement: [Zojo-ji Temple, movedTo, Shiba, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shiba, Tokyo
Context triple: [Zojo-ji Temple, movedTo, Shiba, Tokyo]
  • A. Katsushika, Tokyo
    Katsushika, Tokyo is a northeastern special ward of Tokyo known for its traditional shitamachi atmosphere, residential neighborhoods, and riverside areas along the Edogawa and Arakawa.
  • B. Kunitachi, Tokyo
    Kunitachi, Tokyo is a suburban city in western Tokyo known for its academic institutions, tree-lined avenues, and reputation as a quiet, residential college town.
  • C. 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.
  • D. Higashiyamato, Tokyo
    Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and access via the Tama Monorail.
  • E. Aoyama, Tokyo chosen
    Aoyama, Tokyo is an upscale neighborhood in Minato Ward known for its fashionable boutiques, trendy cafes, art galleries, and modern architecture.
  • 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_69ca83e9d0e081908bdb71097201a06c completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9b0b6788190908bee67a0c5d48f completed April 1, 2026, 8:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23c8f14b081909df4eae9b2d16860 completed April 5, 2026, 10:42 a.m.
Created at: March 30, 2026, 7:26 p.m.