Triple

T10702257
Position Surface form Disambiguated ID Type / Status
Subject Osaka–Kyoto corridor E252304 entity
Predicate containsCity P294 FINISHED
Object Takatsuki E9377 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: Takatsuki | Statement: [Osaka–Kyoto corridor, containsCity, Takatsuki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takatsuki
Context triple: [Osaka–Kyoto corridor, containsCity, Takatsuki]
  • A. Takatsuki chosen
    Takatsuki is a city in northern Osaka Prefecture, Japan, known as a residential and commercial hub between Osaka and Kyoto.
  • B. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • C. Mikasuki
    Mikasuki is a Native American language of the Muskogean family, traditionally spoken by the Miccosukee and some Seminole people in the southeastern United States.
  • D. Totsukawa
    Totsukawa is a remote mountainous village in Nara Prefecture, Japan, known for its hot springs, suspension bridges, and scenic river valleys.
  • E. Suzuya
    Suzuya is a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served during World War II.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8c835c8190bf1a67ee94195926 completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69f78ac420788190b12167aef7436c64 completed May 3, 2026, 5:49 p.m.
Created at: April 8, 2026, 9:12 p.m.