Triple

T13570236
Position Surface form Disambiguated ID Type / Status
Subject NOODLES BAZAAR food court E324137 entity
Predicate associatedWith P37 FINISHED
Object Cup Noodles brand E1049742 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 brand | Statement: [NOODLES BAZAAR food court, associatedWith, Cup Noodles brand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cup Noodles brand
Context triple: [NOODLES BAZAAR food court, associatedWith, Cup Noodles brand]
  • A. Cup Noodles chosen
    Cup Noodles is a popular instant ramen brand sold in a disposable cup, known for its convenience and global influence on fast, ready-to-eat meals.
  • B. Top Ramen
    Top Ramen is a popular instant noodle brand known for its quick-to-prepare, budget-friendly ramen packets widely sold in grocery stores.
  • C. Indomie
    Indomie is a popular Indonesian instant noodle brand known worldwide for its wide variety of flavors and quick, convenient preparation.
  • D. Nissin Foods
    Nissin Foods is a Japanese food company best known for inventing instant ramen and the Cup Noodles brand.
  • E. Yamazaki Biscuits
    Yamazaki Biscuits is a Japanese confectionery and snack manufacturer best known for producing a wide range of biscuits and cookies and for its long-standing involvement in sports sponsorships.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb00f5b8881908617f42d227ed137 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8c6cde08190b79fdcde8a81ccc4 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 9:48 p.m.