Triple

T10984176
Position Surface form Disambiguated ID Type / Status
Subject Lake Motosu E259583 entity
Predicate near P350 FINISHED
Object Lake Shoji E265741 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 Shoji | Statement: [Lake Motosu, near, Lake Shoji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Shoji
Context triple: [Lake Motosu, near, Lake Shoji]
  • A. Lake Shoji chosen
    Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
  • B. Lake Shinji
    Lake Shinji is a brackish lake in Shimane Prefecture, Japan, renowned for its scenic sunsets, hot spring resorts, and abundant clam and eel fisheries.
  • C. Lake Haruna
    Lake Haruna is a scenic crater lake in Gunma Prefecture, Japan, known for its tranquil waters, surrounding volcanic landscapes, and popularity as a recreational and tourist destination.
  • D. Lake Nakaumi
    Lake Nakaumi is a brackish coastal lake in western Japan, situated between Shimane and Tottori prefectures, known for its rich fisheries and scenic views near the city of Matsue.
  • E. 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.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d772ec55fc81909b2b15f2493dddc6 completed April 9, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3e717481c81908800cd785537c8fc completed April 18, 2026, 8:18 p.m.
Created at: April 8, 2026, 9:24 p.m.