Triple

T8536146
Position Surface form Disambiguated ID Type / Status
Subject Otis France E202081 entity
Predicate partOf P40 FINISHED
Object Otis global network 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 network | Statement: [Otis France, partOf, Otis global network]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otis global network
Context triple: [Otis France, partOf, Otis global network]
  • 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 France
    Otis France is the French subsidiary of the Otis Elevator Company, responsible for manufacturing, installing, and servicing elevators and escalators in France.
  • C. 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.
  • D. Otis
    Otis is a globally recognized manufacturer of elevators, escalators, and moving walkways, known for pioneering vertical transportation technologies.
  • E. Otis
    Otis is a small rural town in western Massachusetts known for its forests, lakes, and outdoor recreation.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a3f024819095d560a205ff1c75 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8332cc819083c86e0dc58bcc37 completed April 2, 2026, 1:22 p.m.
Created at: March 30, 2026, 6:18 p.m.