Triple

T12059028
Position Surface form Disambiguated ID Type / Status
Subject Pontocho alley E287117 entity
Predicate followsAlong P2127 FINISHED
Object Kamo River E437410 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: Kamo River | Statement: [Pontocho alley, followsAlong, Kamo River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamo River
Context triple: [Pontocho alley, followsAlong, Kamo River]
  • A. Kamo River
    The Kamo River is a prominent river running through Kyoto, Japan, known for its scenic banks, seasonal cherry blossoms, and role as a central gathering place for locals and visitors.
  • B. Kamogawa River chosen
    The Kamogawa River is a prominent river flowing through Kyoto, Japan, known for its scenic banks lined with traditional teahouses, restaurants, and popular walking paths.
  • C. Yoshino River
    The Yoshino River is one of Japan’s major rivers, renowned for its strong currents, hydroelectric dams, and scenic gorges as it flows across the island of Shikoku.
  • D. Ōhashi River
    Ōhashi River is a short but significant river in Matsue, Shimane Prefecture, Japan, connecting Lake Shinji to Nakaumi and shaping the city's scenic waterfront.
  • E. Arakawa River
    The Arakawa River is a major river in the Tokyo region of Japan, known for its extensive flood control systems and role in shaping the urban landscape.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043dbccc8190bf9da181f826f0d8 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0683b90819098864f73b6976517 completed May 8, 2026, 2:17 p.m.
Created at: April 8, 2026, 9:47 p.m.