Triple

T21929966
Position Surface form Disambiguated ID Type / Status
Subject Popeye & Bluto’s Bilge-Rat Barges E541541 entity
Predicate manufacturer P490 FINISHED
Object Intamin NE NERFINISHED

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: Intamin | Statement: [Popeye & Bluto’s Bilge-Rat Barges, manufacturer, Intamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intamin
Context triple: [Popeye & Bluto’s Bilge-Rat Barges, manufacturer, Intamin]
  • A. Intamin chosen
    Intamin is a Swiss-based company renowned worldwide for designing and manufacturing major amusement rides and roller coasters for theme parks.
  • B. Tokyo Denki
    Tokyo Denki was a Japanese electrical company that became a predecessor of the modern electronics conglomerate Toshiba.
  • C. Tokyu Land Corporation
    Tokyu Land Corporation is a major Japanese real estate developer and property management company within the Tokyu Group conglomerate.
  • D. Kawada Industries
    Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
  • E. Nimco
    Nimco is the wife of Somali-born British journalist and television news presenter Rageh Omaar.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c47d74488190a15119108794a307 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f123fdd88081909dc7d4a05fb0ee35 completed April 28, 2026, 9:17 p.m.
Created at: April 16, 2026, 7:47 p.m.