Triple

T18104102
Position Surface form Disambiguated ID Type / Status
Subject Dong Maeng E433304 entity
Predicate replaces P101 FINISHED
Object Foal Eagle 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: Foal Eagle | Statement: [Dong Maeng, replaces, Foal Eagle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foal Eagle
Context triple: [Dong Maeng, replaces, Foal Eagle]
  • A. Foal Eagle chosen
    Foal Eagle is a large-scale annual joint military exercise conducted by the United States and South Korea to enhance readiness and deterrence on the Korean Peninsula.
  • B. Wild Eagle
    Wild Eagle is a steel wing coaster at Dollywood known for its soaring, bird-like ride experience and scenic Smoky Mountain views.
  • C. Eagle
    In Haida mythology, Eagle is a powerful and revered supernatural being often associated with strength, vision, and a close connection between the human and spirit worlds.
  • D. Eagle
    The Eagle is a powerful bird of prey symbolizing strength, freedom, and keen vision, commonly used as a mascot and national emblem.
  • E. Eagle
    Eagle was an American automobile marque owned by Chrysler that offered rebadged and performance-oriented vehicles primarily during the late 1980s and 1990s.
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb8dd308190a9c98ac2b1d8b872 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.