Triple

T16295671
Position Surface form Disambiguated ID Type / Status
Subject TriStar K1 E395639 entity
Predicate manufacturer P490 FINISHED
Object Lockheed E330361 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 | Statement: [TriStar K1, manufacturer, Lockheed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lockheed
Context triple: [TriStar K1, manufacturer, Lockheed]
  • A. Lockheed Aircraft Company chosen
    Lockheed Aircraft Company was a major American aerospace manufacturer known for producing influential military and civilian aircraft throughout the 20th century.
  • B. Northrop
    Northrop is a major American aerospace and defense company known for designing and producing advanced military aircraft and related technologies.
  • C. Convair
    Convair was a major American aerospace and defense contractor known for producing military aircraft, airliners, and early space launch vehicles during the mid-20th century.
  • D. Douglas Aircraft Company
    Douglas Aircraft Company was a major American aerospace manufacturer known for producing influential military and commercial aircraft throughout much of the 20th century.
  • 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 (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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e25e2d08108190bab1b3325923af1d completed April 17, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f9b42248190a3c8c2647a42aeb9 completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.