Triple

T4905729
Position Surface form Disambiguated ID Type / Status
Subject Aldo Rossi E109907 entity
Predicate workLocation P7 FINISHED
Object Fukuoka E38549 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: Fukuoka | Statement: [Aldo Rossi, workLocation, Fukuoka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fukuoka
Context triple: [Aldo Rossi, workLocation, Fukuoka]
  • A. Fukuoka chosen
    Fukuoka is a major Japanese city on the northern shore of Kyushu, known as an important economic, cultural, and transportation hub with a busy international port.
  • B. Kitakyushu
    Kitakyushu is a major industrial and port city located in Fukuoka Prefecture on Japan’s Kyushu island.
  • C. Shimonoseki City
    Shimonoseki City is a coastal city in Yamaguchi Prefecture, Japan, known as a major gateway between Honshu and Kyushu and for its historic role in maritime trade and the First Sino-Japanese War.
  • D. Takamatsu
    Takamatsu is a coastal city in Japan’s Kagawa Prefecture on the island of Shikoku, known as a regional transport hub and gateway to the Seto Inland Sea.
  • E. Ōsaki
    Ōsaki is a major commercial and business district in Tokyo known for its high-rise office complexes and convenient rail connections.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e71a5c481909f5862bf497c3c9d completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69ca392955f081909deeeae20822adc0 completed March 30, 2026, 8:49 a.m.
Created at: March 20, 2026, 1:29 p.m.