Triple

T11012812
Position Surface form Disambiguated ID Type / Status
Subject Tokushima Prefecture E260284 entity
Predicate contains P35 FINISHED
Object Miyoshi City E719969 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: Miyoshi City | Statement: [Tokushima Prefecture, contains, Miyoshi City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miyoshi City
Context triple: [Tokushima Prefecture, contains, Miyoshi City]
  • A. Miyoshi City chosen
    Miyoshi City is a municipality in Tokushima Prefecture on Japan’s Shikoku Island, known for its mountainous terrain, scenic river valleys, and outdoor tourism.
  • B. Saijō City
    Saijō City is a municipality in Ehime Prefecture on Japan’s Shikoku Island, known as a gateway to Mount Ishizuchi and for its natural springs and scenic mountain landscapes.
  • C. Murayama City
    Murayama City is a municipality in northeastern Japan known for its rural landscapes, agriculture, and location within Yamagata Prefecture in the Tōhoku region.
  • D. Asaka City
    Asaka City is a municipality in Saitama Prefecture, Japan, located in the Tokyo metropolitan area and known as a residential and commuter town.
  • E. Kaga City
    Kaga City is a hot spring resort city in southern Ishikawa Prefecture, Japan, known for its historic onsen towns, traditional crafts, and scenic natural surroundings.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978b1e888190b297f107f6021b59 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff7559f0448190a992f0770ac8227a completed May 9, 2026, 5:56 p.m.
Created at: April 8, 2026, 9:25 p.m.