Triple

T11309809
Position Surface form Disambiguated ID Type / Status
Subject 淀川 E267806 entity
Predicate 流域都道府県 P72732 FINISHED
Object 大阪府 E757 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: 大阪府 | Statement: [淀川, 流域都道府県, 大阪府]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大阪府
Context triple: [淀川, 流域都道府県, 大阪府]
  • A. Osaka Prefecture chosen
    Osaka Prefecture is a populous and economically vital region in Japan’s Kansai area, centered on the city of Osaka and known as a major hub of commerce, industry, and culture.
  • B. Wakayama Prefecture
    Wakayama Prefecture is a coastal region in Japan’s Kansai area known for its sacred sites on the Kii Peninsula, including Mount Koya and the Kumano Kodo pilgrimage routes.
  • C. Kyoto Prefecture
    Kyoto Prefecture is a region in Japan’s Kansai area known for its historic capital city of Kyoto, famous temples, traditional culture, and well-preserved heritage sites.
  • D. Nara Prefecture
    Nara Prefecture is a landlocked region in Japan’s Kansai area known for its ancient temples, historic capital city of Nara, and free-roaming deer in Nara Park.
  • E. Settsu, Osaka
    Settsu, Osaka is a suburban city in northern Osaka Prefecture, Japan, known for its residential neighborhoods and convenient access to the Osaka metropolitan 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6241c42fc8190a8539406248a535c completed April 20, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:32 p.m.