Triple

T363250
Position Surface form Disambiguated ID Type / Status
Subject Tektronix E7900 entity
Predicate acquiredBy P347 FINISHED
Object Fortive E46083 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: Fortive | Statement: [Tektronix, acquiredBy, Fortive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fortive
Context triple: [Tektronix, acquiredBy, Fortive]
  • A. Fortive chosen
    Fortive is an American diversified industrial technology company that owns and operates a portfolio of measurement, automation, and industrial solutions businesses.
  • B. Goodrich Corporation
    Goodrich Corporation was a major American aerospace and defense company known for manufacturing aircraft systems and components before its acquisition by United Technologies Corporation.
  • C. Honeywell
    Honeywell is a multinational conglomerate best known for its aerospace systems, building technologies, performance materials, and industrial automation products.
  • D. DuPont
    DuPont is a major American chemical company historically known for pioneering materials science innovations and playing a key role in U.S. industrial and wartime production.
  • E. Northesk
    Northesk is the territorial designation associated with the Scottish peerage title Earl of Northesk, historically linked to the Carnegie family.
  • 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_69a2e7e880008190a6ad7e06e5d03007 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ebd1016481909b8ba3b047a47145 completed Feb. 28, 2026, 1:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3eca938988190b4490e086f25474e completed March 1, 2026, 7:37 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.