Triple

T3070285
Position Surface form Disambiguated ID Type / Status
Subject Cup Noodles Museum E64002 entity
Predicate exhibit P626 FINISHED
Object Cup Noodles Park E64002 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: Cup Noodles Park | Statement: [Cup Noodles Museum, exhibit, Cup Noodles Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cup Noodles Park
Context triple: [Cup Noodles Museum, exhibit, Cup Noodles Park]
  • A. Cup Noodles Museum chosen
    The Cup Noodles Museum is an interactive museum in Yokohama dedicated to the history, invention, and cultural impact of instant ramen and Cup Noodles.
  • B. Chicken Ramen Factory
    Chicken Ramen Factory is an interactive attraction where visitors can experience making their own instant chicken ramen, featured inside the Cup Noodles Museum.
  • C. Komaba Park
    Komaba Park is a public green space in Tokyo’s Meguro ward known for its tranquil gardens, historic residences, and seasonal cherry blossoms.
  • D. Nipponbashi Den Den Town
    Nipponbashi Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, gaming, and hobby stores.
  • E. Ramenki
    Ramenki is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Ramenki District of western Moscow, Russia.
  • 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_69ad857a8aec8190bfdfd9c14554ac5a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada100f0b8819095da366fdc6803a8 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20354031c819081a0852fe7e181ab completed March 12, 2026, 12:05 a.m.
Created at: March 8, 2026, 3:02 p.m.