Triple

T15955607
Position Surface form Disambiguated ID Type / Status
Subject Izumo Airport E386925 entity
Predicate locatedNear P294 FINISHED
Object Lake Shinji E891627 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 Shinji | Statement: [Izumo Airport, locatedNear, Lake Shinji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Shinji
Context triple: [Izumo Airport, locatedNear, Lake Shinji]
  • A. Lake Shinji chosen
    Lake Shinji is a brackish lake in Shimane Prefecture, Japan, renowned for its scenic sunsets, hot spring resorts, and abundant clam and eel fisheries.
  • B. Lake Shoji
    Lake Shoji is one of the Fuji Five Lakes in Japan, known for its tranquil waters and scenic views of Mount Fuji.
  • C. Lake Yamanaka
    Lake Yamanaka is the largest of the Fuji Five Lakes in Japan, known for its scenic views of Mount Fuji and popularity as a resort and recreational area.
  • D. Lake Tanuki
    Lake Tanuki is a scenic artificial lake in Fujinomiya, Shizuoka Prefecture, Japan, renowned for its views of Mount Fuji and popular for camping, fishing, and seasonal festivals.
  • E. 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.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fb29848190a55cabb49cb19575 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a1f8d648190b9c6280b875a17e4 completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 4:53 a.m.