Triple

T10824909
Position Surface form Disambiguated ID Type / Status
Subject Yasu River E255471 entity
Predicate tributaryOf P415 FINISHED
Object Lake Biwa E170762 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: Lake Biwa | Statement: [Yasu River, tributaryOf, Lake Biwa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Biwa
Context triple: [Yasu River, tributaryOf, Lake Biwa]
  • A. Lake Biwa chosen
    Lake Biwa is Japan’s largest and one of its oldest freshwater lakes, located in Shiga Prefecture near Kyoto and renowned for its biodiversity and cultural significance.
  • B. Lake Kussharo
    Lake Kussharo is a large caldera lake in eastern Hokkaido, Japan, renowned for its volcanic scenery, hot springs, and surrounding natural beauty.
  • C. Lake Hachirogata
    Lake Hachirogata is a coastal lagoon in Akita Prefecture, Japan, historically one of the country’s largest lakes before extensive land reclamation reduced its size.
  • D. Lake Chūzenji
    Lake Chūzenji is a scenic mountain lake in Japan’s Tochigi Prefecture, renowned for its autumn foliage, views of Mount Nantai, and role as a centerpiece of the Nikko National Park area.
  • E. Lake Shikotsu
    Lake Shikotsu is a deep caldera lake in Hokkaido, Japan, renowned for its exceptionally clear water and scenic volcanic surroundings.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d0389c819090a892693c4046ed completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c45f288190a5235b5d7000a32c completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.