Triple

T4733149
Position Surface form Disambiguated ID Type / Status
Subject Kintetsu Namba Line E105058 entity
Predicate connectsArea P2564 FINISHED
Object central Osaka E260288 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: central Osaka | Statement: [Kintetsu Namba Line, connectsArea, central Osaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: central Osaka
Context triple: [Kintetsu Namba Line, connectsArea, central Osaka]
  • A. Shin-Osaka business district
    The Shin-Osaka business district is a major commercial hub in Osaka centered around Shin-Osaka Station, known for its concentration of offices, hotels, and convenient Shinkansen access.
  • B. 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.
  • C. Chuo-ku, Osaka chosen
    Chuo-ku, Osaka is a central ward of Osaka City known as a major commercial, business, and entertainment hub.
  • D. central Tokyo
    Central Tokyo is the densely built-up core of Japan’s capital, encompassing major business, shopping, and cultural districts such as Omotesando, Shibuya, and Marunouchi.
  • E. 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.
  • 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_69bd43ee52048190b81a4f066534ffb3 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6466354481908595f5bb56025cdb completed March 20, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be10acf7488190946b31f95114d459 completed March 21, 2026, 3:29 a.m.
Created at: March 20, 2026, 1:19 p.m.