Triple

T1724047
Position Surface form Disambiguated ID Type / Status
Subject Mie Prefecture E37456 entity
Predicate hasLargestCity P235 FINISHED
Object Yokkaichi E396774 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: Yokkaichi | Statement: [Mie Prefecture, hasLargestCity, Yokkaichi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokkaichi
Context triple: [Mie Prefecture, hasLargestCity, Yokkaichi]
  • A. Yokkaichi chosen
    Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
  • B. Nagahama
    Nagahama is a historic lakeside city in central Japan known for its preserved Edo-period streets, Nagahama Castle, and scenic location on the northeastern shore of Lake Biwa.
  • C. Maibara
    Maibara is a city in Shiga Prefecture, Japan, known as a regional transportation hub with a Shinkansen station and scenic views of nearby Lake Biwa and surrounding mountains.
  • D. Takamatsu
    Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
  • E. Okayama
    Okayama is a major city in western Japan known for its historic Okayama Castle, the celebrated Korakuen Garden, and its role as a regional transportation and cultural hub.
  • 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_69a8861acab88190bb43cde203429399 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa635a5c8c8190b3fbf977a93838fd completed March 6, 2026, 5:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69b594a6aac881908dbde61735ca8427 completed March 14, 2026, 5:02 p.m.
Created at: March 4, 2026, 7:30 p.m.