Triple

T3654256
Position Surface form Disambiguated ID Type / Status
Subject Space Fence E77492 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: [Space Fence, manufacturer, Lockheed Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockheed Martin
Context triple: [Space Fence, 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_69ad85def5cc8190863dccf55a18bebb completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3b9164c81908938a4338430d193 completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c256e0881909c6d481d373e814c completed March 14, 2026, 11:53 a.m.
Created at: March 8, 2026, 3:24 p.m.