Triple

T4214743
Position Surface form Disambiguated ID Type / Status
Subject Tsukuba E94187 entity
Predicate knownFor P22 FINISHED
Object Tsukuba Science City E265818 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: Tsukuba Science City | Statement: [Tsukuba, knownFor, Tsukuba Science City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tsukuba Science City
Context triple: [Tsukuba, knownFor, Tsukuba Science City]
  • A. Tsukuba Science City chosen
    Tsukuba Science City is a planned research and academic hub in Ibaraki Prefecture, Japan, known for its concentration of universities, national laboratories, and high-tech industries.
  • B. Okubo Park
    Okubo Park is a public urban park located in the Ōkubo district of Shinjuku, Tokyo, known as a local green space amid the dense cityscape.
  • C. Tokyo Skytree Town
    Tokyo Skytree Town is a large commercial and entertainment complex in Tokyo that surrounds the Tokyo Skytree and features shopping, dining, an aquarium, and various leisure facilities.
  • D. Toyama Park
    Toyama Park is a large urban green space in Tokyo known for its wooded hills, sports facilities, and historical sites, including former military and university grounds.
  • E. Miyashita Park
    Miyashita Park is a redeveloped urban park and shopping complex in Shibuya that combines green space, sports facilities, and commercial areas atop a multi-story building.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34be8ba408190baee362e5abbe75b completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963779d08190a95eb110361bf1f1 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.