Triple

T2695729
Position Surface form Disambiguated ID Type / Status
Subject Espoo E58506 entity
Predicate hostedHeadquartersOf P62 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: [Espoo, hostedHeadquartersOf, KONE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KONE
Context triple: [Espoo, hostedHeadquartersOf, 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abdd1e80dc819083e04e1427d187d0 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf6aa78c8190b57be36042008361 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.