Triple

T509603
Position Surface form Disambiguated ID Type / Status
Subject Shin-Osaka Station E10575 entity
Predicate connectsTo P845 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: [Shin-Osaka Station, connectsTo, Okayama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Okayama
Context triple: [Shin-Osaka Station, connectsTo, 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. Niigata
    Niigata is a major coastal city in north-central Japan known for its important seaport on the Sea of Japan, rice production, and sake brewing.
  • D. Shizuoka
    Shizuoka is a coastal city in central Japan known for its views of Mount Fuji, green tea production, and role as the capital of Shizuoka Prefecture.
  • E. Amagasaki
    Amagasaki is an industrial city in Japan’s Hyōgo Prefecture, situated in the Kansai region between Osaka and Kobe.
  • 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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f164a9d48190b525a97b5c06ffe2 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae3032c1588190bae02f0e2152c6f1 completed March 9, 2026, 2:28 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.