Triple

T4798485
Position Surface form Disambiguated ID Type / Status
Subject Tama no Higashi no Misasagi E106773 entity
Predicate locatedIn P40 FINISHED
Object Hachiōji E130056 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: Hachiōji | Statement: [Tama no Higashi no Misasagi, locatedIn, Hachiōji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hachiōji
Context triple: [Tama no Higashi no Misasagi, locatedIn, Hachiōji]
  • A. Hachiōji chosen
    Hachiōji is a city in western Tokyo, Japan, known as a regional commercial and educational hub with rich historical sites and access to nearby mountains and nature.
  • B. Chōfu
    Chōfu is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, film studios, and proximity to central Tokyo.
  • C. Musashino
    Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
  • D. Akishima
    Akishima is a city in western Tokyo, Japan, known as part of the Tama area and characterized by its residential neighborhoods and light industry.
  • E. Bunkyō City
    Bunkyō City is a special ward in central Tokyo, Japan, known for its universities, historic temples, and quiet residential neighborhoods.
  • 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_69bd43f591c881909e5a532388b0f3f3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6633b02c8190994d4b3543220efa completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bffc1b472c819087590fe2b8713ded completed March 22, 2026, 2:26 p.m.
Created at: March 20, 2026, 1:22 p.m.