Triple

T18763591
Position Surface form Disambiguated ID Type / Status
Subject Fussa E458836 entity
Predicate borderedBy P224 FINISHED
Object Musashimurayama 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: Musashimurayama | Statement: [Fussa, borderedBy, Musashimurayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musashimurayama
Context triple: [Fussa, borderedBy, 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. Oiyama
    Oiyama is the climactic final race of the Hakata Gion Yamakasa festival in Fukuoka, where teams dash through the streets carrying elaborately decorated floats.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d80a954819083946dafc0c7af05 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.