Triple

T8605186
Position Surface form Disambiguated ID Type / Status
Subject Thyssenkrupp Elevator E203778 entity
Predicate competitor P1375 FINISHED
Object KONE E202082 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: KONE | Statement: [Thyssenkrupp Elevator, competitor, KONE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KONE
Context triple: [Thyssenkrupp Elevator, competitor, KONE]
  • A. KONE chosen
    KONE is a global Finnish company specializing in the manufacture, installation, and maintenance of elevators, escalators, and automatic building doors.
  • B. Thyssenkrupp Elevator
    Thyssenkrupp Elevator is a global elevator and escalator manufacturing and service company known for providing vertical transportation solutions for buildings and urban infrastructure.
  • C. Otis Elevator Company
    Otis Elevator Company is a leading global manufacturer and maintainer of elevators, escalators, and moving walkways, known for pioneering safety innovations in vertical transportation.
  • D. Intamin
    Intamin is a Swiss-based company renowned worldwide for designing and manufacturing major amusement rides and roller coasters for theme parks.
  • E. Otis China
    Otis China is the Chinese subsidiary of Otis Elevator Company, responsible for manufacturing, installing, and servicing elevators and escalators in the China market.
  • 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_69ca832c23e4819095a9f3eea4a21828 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46e9b6a881908f6a6c847519e5e5 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea900cf708190abb550f592edbdf6 completed April 2, 2026, 5:36 p.m.
Created at: March 30, 2026, 6:24 p.m.