Triple

T12999059
Position Surface form Disambiguated ID Type / Status
Subject Flying Aces E322117 entity
Predicate designer P184 FINISHED
Object Intamin E114327 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: Intamin | Statement: [Flying Aces, designer, Intamin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Intamin
Context triple: [Flying Aces, designer, 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 (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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e7b268c8190b8bb855e9de23c3b completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e266000c8190b0ba4c9e63ba0542 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 8:46 p.m.