Triple

T5478761
Position Surface form Disambiguated ID Type / Status
Subject RTX Corporation E123419 entity
Predicate segment P889 FINISHED
Object Raytheon E1034 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: Raytheon | Statement: [RTX Corporation, segment, Raytheon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raytheon
Context triple: [RTX Corporation, segment, Raytheon]
  • A. Raytheon Company chosen
    Raytheon Company was a major American defense contractor and industrial corporation known for developing advanced military technologies, including missile systems and radar.
  • B. Northrop Grumman
    Northrop Grumman is a leading American aerospace and defense technology company known for developing advanced military aircraft, spacecraft, and defense systems.
  • C. Lockheed Martin
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • D. General Dynamics
    General Dynamics is a major American aerospace and defense corporation known for developing advanced military systems, including missiles, submarines, and combat vehicles.
  • E. BAE Systems
    BAE Systems is a major British multinational defense, security, and aerospace company that designs and manufactures advanced military aircraft, naval vessels, and other defense 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_69bd4648883481909e9775d43300c5fa completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9247a16c8190ac5a02534da48853 completed March 20, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf7fda8a5c81908832c2d59886d824 completed March 22, 2026, 5:36 a.m.
Created at: March 20, 2026, 2:09 p.m.