Triple

T14972407
Position Surface form Disambiguated ID Type / Status
Subject Tama River E373354 entity
Predicate flowsThrough P225 FINISHED
Object Akishima, Tokyo NE NERFINISHED

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: Akishima, Tokyo | Statement: [Tama River, flowsThrough, Akishima, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akishima, Tokyo
Context triple: [Tama River, flowsThrough, Akishima, Tokyo]
  • A. Musashino, Tokyo
    Musashino, Tokyo is a suburban city in western Tokyo Metropolis known for its residential neighborhoods, parks, and several universities and cultural institutions.
  • B. Higashiyamato, Tokyo
    Higashiyamato is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and access via the Tama Monorail.
  • C. Akishima chosen
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • D. 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.
  • E. Ōta, Tokyo
    Ōta, Tokyo is a large ward in southern Tokyo known for its mix of residential and industrial areas and for hosting Haneda Airport, one of Japan’s major international gateways.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e767608190940eb6f16ea97451 completed April 15, 2026, 12:08 a.m.
Created at: April 10, 2026, 2:50 a.m.