Triple

T4819488
Position Surface form Disambiguated ID Type / Status
Subject F-35C Lightning II E107673 entity
Predicate manufacturer P490 FINISHED
Object Lockheed Martin E14436 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: Lockheed Martin | Statement: [F-35C Lightning II, manufacturer, Lockheed Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockheed Martin
Context triple: [F-35C Lightning II, manufacturer, Lockheed Martin]
  • A. Lockheed Martin chosen
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • 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. Raytheon Company
    Raytheon Company was a major American defense contractor and industrial corporation known for developing advanced military technologies, including missile systems and radar.
  • 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. Northrop
    Northrop is a major American aerospace and defense company known for designing and producing advanced military aircraft and related 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c96f4dc81909e3186159b5c75ab completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dbbfe588190bae0aca210bea2bc completed March 21, 2026, 7:50 a.m.
Created at: March 20, 2026, 1:24 p.m.