Triple

T13166015
Position Surface form Disambiguated ID Type / Status
Subject White Ring E312851 entity
Predicate locatedIn P40 FINISHED
Object Nagano, Japan E78933 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: Nagano, Japan | Statement: [White Ring, locatedIn, Nagano, Japan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagano, Japan
Context triple: [White Ring, locatedIn, Nagano, Japan]
  • A. Nagano chosen
    Nagano is a city in central Japan best known internationally for hosting the 1998 Winter Olympic Games.
  • B. Matsumoto, Nagano, Japan
    Matsumoto, Nagano, Japan is a historic castle city in central Honshu known for its scenic alpine setting and as the hometown of avant-garde artist Yayoi Kusama.
  • C. Fujinomiya, Japan
    Fujinomiya, Japan is a city in Shizuoka Prefecture known as a gateway to Mount Fuji and for its scenic views, shrines, and local cuisine.
  • D. Tsuyama, Japan
    Tsuyama, Japan is a historic city in Okayama Prefecture known for its well-preserved castle ruins, traditional townscape, and famous cherry blossom viewing spots.
  • E. Fukuroi, Japan
    Fukuroi, Japan is a city in Shizuoka Prefecture known for its agricultural production, traditional temples, and role as a regional industrial and cultural center.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2c317881908cc715c97d915f77 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f71f13a63c81909335c0a45c3f7eca completed May 3, 2026, 10:10 a.m.
Created at: April 9, 2026, 9:13 p.m.