Triple

T9960397
Position Surface form Disambiguated ID Type / Status
Subject Moriyama, Shiga E195551 entity
Predicate isLocatedNear P350 FINISHED
Object Kusatsu, Shiga E193571 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: Kusatsu, Shiga | Statement: [Moriyama, Shiga, isLocatedNear, Kusatsu, Shiga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kusatsu, Shiga
Context triple: [Moriyama, Shiga, isLocatedNear, Kusatsu, Shiga]
  • A. Kusatsu, Shiga chosen
    Kusatsu, Shiga is a city in Japan’s Kansai region known as a residential and commercial hub within the greater Kyoto–Osaka metropolitan area.
  • B. Kusatsu, Gunma
    Kusatsu, Gunma is a renowned hot spring resort town in Gunma Prefecture, Japan, famous for its high-volume, highly acidic thermal waters and traditional onsen culture.
  • C. Kusatsu
    Kusatsu is a Japanese city in Shiga Prefecture known as a regional commercial hub and transportation crossroads near Lake Biwa.
  • D. Otsu, Shiga
    Otsu, Shiga is the capital city of Shiga Prefecture in Japan, known for its location on the southwestern shore of Lake Biwa and its historic temples and cultural sites.
  • E. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb6d219c48190b2084b0eb07ae125 completed April 2, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281e1eb848190b898e36ec9821228 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:47 p.m.