Triple

T10702943
Position Surface form Disambiguated ID Type / Status
Subject Minpaku E252323 entity
Predicate shortName P43 FINISHED
Object Minpaku E252323 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: Minpaku | Statement: [Minpaku, shortName, Minpaku]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minpaku
Context triple: [Minpaku, shortName, Minpaku]
  • A. Minpaku chosen
    Minpaku is Japan’s National Museum of Ethnology, a leading research and exhibition center dedicated to the cultures and societies of the world.
  • B. Minamitane
    Minamitane is a town on Tanegashima Island in Kagoshima Prefecture, Japan, known for hosting Japan’s main spaceport facilities nearby.
  • C. Fukusaki
    Fukusaki is a town in Hyōgo Prefecture, Japan, known for its rural setting and association with folklorist Kunio Yanagita.
  • D. Kamitsumaki
    Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
  • E. Minaki
    Minaki is a small unincorporated community and recreational area in northwestern Ontario, Canada, known for its lakeside cottages, fishing, and outdoor tourism.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fddd28d481908abc5c1d4e5a9f3e completed April 9, 2026, 1:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998f5cda081909932daa3c98f8b46 completed April 11, 2026, 12:42 a.m.
Created at: April 8, 2026, 9:12 p.m.