Triple

T8257151
Position Surface form Disambiguated ID Type / Status
Subject Mizuho E193098 entity
Predicate neighboringArea P33892 FINISHED
Object Musashimurayama E357767 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: Musashimurayama | Statement: [Mizuho, neighboringArea, Musashimurayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musashimurayama
Context triple: [Mizuho, neighboringArea, Musashimurayama]
  • A. Musashimurayama chosen
    Musashimurayama is a city in western Tokyo, Japan, known as part of the Tama area within the Tokyo Metropolis.
  • B. Higashimurayama
    Higashimurayama is a suburban city in western Tokyo, Japan, known for its residential neighborhoods, parks, and role as part of the Tama area’s commuter belt.
  • C. Akiruno
    Akiruno is a city in western Tokyo, Japan, known for its natural scenery, including rivers, forests, and hiking areas.
  • D. Sasayama
    Sasayama is a historic castle town in Hyōgo Prefecture, Japan, known for its well-preserved Edo-period streets, Sasayama Castle ruins, and traditional local cuisine.
  • E. Ibusuki
    Ibusuki is a coastal city in Kagoshima Prefecture, Japan, best known for its natural hot springs and unique sand bath spas.
  • 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_69ca82dfad9c8190b8cd18fb89f50f40 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78fb91d08190904c59ccc0cd444a completed March 31, 2026, 7:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd94f9c97881908c6e9f266aba888e completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:49 p.m.