Triple

T15486782
Position Surface form Disambiguated ID Type / Status
Subject National Route 137 E377067 entity
Predicate serves P98 FINISHED
Object city of Fujiyoshida E690142 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: city of Fujiyoshida | Statement: [National Route 137, serves, city of Fujiyoshida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Fujiyoshida
Context triple: [National Route 137, serves, city of Fujiyoshida]
  • A. Fujiyoshida-shi chosen
    Fujiyoshida-shi is a city in Yamanashi Prefecture, Japan, located at the northern base of Mount Fuji and known as a gateway to the mountain.
  • B. Fuji City
    Fuji City is an industrial city in Shizuoka Prefecture, Japan, known for its paper manufacturing industry and views of nearby Mount Fuji.
  • C. Shiojiri City
    Shiojiri City is a regional city in central Japan known for its location in Nagano Prefecture’s mountainous inland area and its role as a transportation and agricultural hub.
  • D. Kofu
    Kofu is the capital city of Yamanashi Prefecture in central Japan, known for its surrounding mountains, hot springs, and proximity to the Fuji Five Lakes region.
  • E. Nagaokakyo City
    Nagaokakyo City is a suburban city in Kyoto Prefecture, Japan, known for its residential communities, historical temples, and convenient rail access to Kyoto and Osaka.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8f71a08190a440ff19dcc65312 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d1170088190a911f8ea8d2a2066 completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:47 a.m.