Triple

T10242669
Position Surface form Disambiguated ID Type / Status
Subject Tabata Station E243634 entity
Predicate locatedIn P40 FINISHED
Object Kita, Tokyo E683193 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: Kita, Tokyo | Statement: [Tabata Station, locatedIn, Kita, Tokyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kita, Tokyo
Context triple: [Tabata Station, locatedIn, Kita, Tokyo]
  • A. Kita, Tokyo chosen
    Kita, Tokyo is a northern special ward of Tokyo known for its mix of residential neighborhoods, parks, and major railway hubs connecting central Tokyo with the suburbs.
  • B. 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.
  • C. Nakano, Tokyo
    Nakano, Tokyo is a special ward in western Tokyo known for its dense residential neighborhoods, vibrant shopping streets, and pop culture hub around Nakano Broadway.
  • D. Mitaka, Tokyo
    Mitaka, Tokyo is a suburban city in western Tokyo known for its residential neighborhoods, cultural attractions like the Ghibli Museum, and expansive green spaces.
  • E. Kasumigaseki, Tokyo
    Kasumigaseki, Tokyo is a central government district in Chiyoda, Tokyo, known for housing numerous Japanese ministries, agencies, and administrative offices.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d229c1ac8190a86e911aea47a56d completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb371a408190924ccb5c51c209b7 completed April 9, 2026, 7:17 p.m.
Created at: April 6, 2026, 11:25 a.m.