Triple

T20260231
Position Surface form Disambiguated ID Type / Status
Subject EADS E498812 entity
Predicate collaboratedWith P435 FINISHED
Object BAE Systems NE NERFINISHED

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: BAE Systems | Statement: [EADS, collaboratedWith, BAE Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BAE Systems
Context triple: [EADS, collaboratedWith, BAE Systems]
  • A. BAE Systems chosen
    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.
  • B. Raytheon Systems Limited
    Raytheon Systems Limited is a UK-based defense and aerospace technology company specializing in advanced surveillance, radar, and intelligence systems.
  • C. General Dynamics
    General Dynamics is a major American aerospace and defense corporation known for developing advanced military systems, including missiles, submarines, and combat vehicles.
  • D. Northrop Grumman
    Northrop Grumman is a leading American aerospace and defense technology company known for developing advanced military aircraft, spacecraft, and defense systems.
  • E. Lockheed Martin
    Lockheed Martin is a major American aerospace and defense company known for designing and producing advanced military aircraft, missiles, and space systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674c90d00819082f68822635ee86a completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.