Triple

T2675829
Position Surface form Disambiguated ID Type / Status
Subject Kamo River E56456 entity
Predicate adjacentTo P224 FINISHED
Object Kawaramachi area E83963 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: Kawaramachi area | Statement: [Kamo River, adjacentTo, Kawaramachi area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawaramachi area
Context triple: [Kamo River, adjacentTo, Kawaramachi area]
  • A. Kōjimachi area
    The Kōjimachi area is a central Tokyo district known for its mix of government offices, corporate headquarters, and upscale residential neighborhoods.
  • B. Iidabashi area
    The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
  • C. Suidobashi area
    Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
  • D. Gion district chosen
    Gion district is Kyoto’s famous traditional entertainment quarter, renowned for its historic wooden machiya houses, teahouses, and geisha (geiko and maiko) culture.
  • E. Shinsekai district
    Shinsekai district is an old entertainment neighborhood in Osaka, Japan, known for its retro atmosphere, Tsutenkaku Tower, and vibrant street food and nightlife scene.
  • 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_69ab4a4b13fc81909dfdb3f23da46832 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd9b3530c819093942cc985f814ef completed March 7, 2026, 7:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5281079fc8190a69ae43b14407736 completed March 14, 2026, 9:19 a.m.
Created at: March 6, 2026, 9:54 p.m.