Triple

T9742748
Position Surface form Disambiguated ID Type / Status
Subject Teledyne E236227 entity
Predicate hasDivision P35 FINISHED
Object Teledyne Marine E236227 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: Teledyne Marine | Statement: [Teledyne, hasDivision, Teledyne Marine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Teledyne Marine
Context triple: [Teledyne, hasDivision, Teledyne Marine]
  • A. Teledyne chosen
    Teledyne is an American industrial conglomerate known for its diversified operations in electronics, instrumentation, aerospace, and digital imaging technologies.
  • B. Thales Underwater Systems
    Thales Underwater Systems is a major global provider of naval and underwater defence electronics, specializing in sonar, anti-submarine warfare, and maritime surveillance technologies.
  • C. Oceaneering International
    Oceaneering International is a global engineering and technology company best known for its work in offshore energy services and advanced ride systems for major theme parks.
  • D. Kongsberg Maritime
    Kongsberg Maritime is a Norwegian company that develops and supplies advanced maritime technology and solutions for offshore, marine, and subsea industries worldwide.
  • E. FLIR Systems
    FLIR Systems is a leading American company specializing in the design and manufacture of thermal imaging cameras, sensors, and infrared imaging technologies used in defense, industrial, and commercial applications.
  • 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_69ca84d3e24481908a476e2231123cf9 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f2cb7008190a829a03114d6c704 completed April 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1aff2339c8190b164b13b54a40cec completed April 5, 2026, 12:42 a.m.
Created at: March 30, 2026, 8:23 p.m.