Triple

T10003354
Position Surface form Disambiguated ID Type / Status
Subject Otis Brazil E198179 entity
Predicate partOf P40 FINISHED
Object Otis global operations E39374 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: Otis global operations | Statement: [Otis Brazil, partOf, Otis global operations]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otis global operations
Context triple: [Otis Brazil, partOf, Otis global operations]
  • A. 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.
  • B. Otis Elevator Company chosen
    Otis Elevator Company is a leading global manufacturer and maintainer of elevators, escalators, and moving walkways, known for pioneering safety innovations in vertical transportation.
  • C. Otis France
    Otis France is the French subsidiary of the Otis Elevator Company, responsible for manufacturing, installing, and servicing elevators and escalators in France.
  • D. Otis
    Otis is a small rural town in western Massachusetts known for its forests, lakes, and outdoor recreation.
  • E. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd12f6488190bd5257b5f65437cc completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a41e25881908c7d1e15daeffc44 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.