Triple

T3310477
Position Surface form Disambiguated ID Type / Status
Subject Western Japan E69559 entity
Predicate includesCity P3207 FINISHED
Object Okayama E187143 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: Okayama | Statement: [Western Japan, includesCity, Okayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okayama
Context triple: [Western Japan, includesCity, Okayama]
  • A. Okayama chosen
    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.
  • B. 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.
  • C. Kurashiki
    Kurashiki is a historic industrial and canal city in Okayama Prefecture, Japan, known for its well-preserved Edo-period merchant quarter and traditional warehouses.
  • D. Yokkaichi
    Yokkaichi is an industrial port city in central Japan known for its petrochemical complexes and role as a major manufacturing hub.
  • E. Matsue
    Matsue is a historic castle city and the capital of Shimane Prefecture in western Japan, known for its well-preserved Matsue Castle and scenic lakeside setting between Lake Shinji and Nakaumi.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0eb6dd08190bab1ce80f417966a completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a4282ac8190aa641d466763b786 completed March 29, 2026, 3:19 a.m.
Created at: March 8, 2026, 3:11 p.m.