Triple

T8037462
Position Surface form Disambiguated ID Type / Status
Subject Okayama E187143 entity
Predicate hasJapaneseName P9882 FINISHED
Object 岡山市 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: 岡山市 | Statement: [Okayama, hasJapaneseName, 岡山市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 岡山市
Context triple: [Okayama, hasJapaneseName, 岡山市]
  • 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. 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.
  • C. 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.
  • D. 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.
  • E. Wakayama City
    Wakayama City is a coastal city in Japan known for its historic Wakayama Castle, scenic views over Wakayama Bay, and role as a regional commercial and cultural center in the Kansai area.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f188e1c8190b92760c91d31f2df completed March 31, 2026, 3:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56fa97ac8190a0bd646d9ec345e4 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:23 p.m.