Triple

T2613410
Position Surface form Disambiguated ID Type / Status
Subject Umeda Freight Line E58828 entity
Predicate hasEndpoint P390 FINISHED
Object Shin-Osaka area E148833 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: Shin-Osaka area | Statement: [Umeda Freight Line, hasEndpoint, Shin-Osaka area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shin-Osaka area
Context triple: [Umeda Freight Line, hasEndpoint, Shin-Osaka area]
  • A. Nishi-ku, Osaka
    Nishi-ku, Osaka is a central ward of Osaka City known for its mix of commercial districts, residential areas, and major venues such as the Kyocera Dome.
  • B. Yodogawa-ku, Osaka chosen
    Yodogawa-ku, Osaka is a ward in northern Osaka City known as a major transportation hub, notably hosting Shin-Osaka Station, the city’s primary Shinkansen terminal.
  • C. Umeda district
    Umeda district is a major commercial and transportation hub in Osaka, Japan, known for its skyscrapers, shopping complexes, and extensive train and subway connections.
  • D. Umeda, Osaka
    Umeda, Osaka is a major commercial and transportation district in Osaka, Japan, known for its dense cluster of department stores, office towers, and railway terminals.
  • E. Chuo-ku, Osaka
    Chuo-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and entertainment hub.
  • 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_69ab4ac444dc819099614e534dd6021f completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87dcfbc8190b264062002bfe4ba completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69b37e3d80d081908bb563323e250978 completed March 13, 2026, 3:02 a.m.
Created at: March 6, 2026, 9:50 p.m.