Triple

T16627444
Position Surface form Disambiguated ID Type / Status
Subject Kita-ku, Osaka E403985 entity
Predicate contains P35 FINISHED
Object Oyodo E1234737 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: Oyodo | Statement: [Kita-ku, Osaka, contains, Oyodo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oyodo
Context triple: [Kita-ku, Osaka, contains, Oyodo]
  • A. Oyodo chosen
    Oyodo is a district within Kita-ku in Osaka, Japan, known as a residential and commercial area near the city center.
  • B. Kamogawa
    Kamogawa is a coastal city in Chiba Prefecture, Japan, known for its beaches, fishing industry, and the popular Kamogawa Sea World aquarium.
  • C. Kamogawa
    Kamogawa is a prominent river running through Kyoto, Japan, known for its scenic banks, cultural significance, and popular walking paths.
  • D. Yodo
    Yodo is a district in Kyoto, Japan, historically notable as a key strategic site during the late Edo period, including the Battle of Toba–Fushimi.
  • E. Izumi
    Izumi is a neighborhood located within Tokyo’s Suginami ward, known as a primarily residential area with local shops and community facilities.
  • 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e2683481908c9a5ed895a09a6e completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfbbbb888190b750d8f4c005ee42 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:17 a.m.