Triple

T14164422
Position Surface form Disambiguated ID Type / Status
Subject 509th Bomb Wing E351033 entity
Predicate garrisonState P17805 FINISHED
Object Missouri E19676 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: Missouri | Statement: [509th Bomb Wing, garrisonState, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missouri
Context triple: [509th Bomb Wing, garrisonState, Missouri]
  • A. Missouri chosen
    Missouri is a U.S. state in the Midwest known for its major cities like St. Louis and Kansas City, its role as a historic gateway to the American West, and its diverse mix of agricultural and industrial economies.
  • B. Mont
    Mont is a family surname associated with the character Michael Mont.
  • C. Mont
    Mont is a small village in the municipality of Vielha e Mijaran in the Val d'Aran region of Catalonia, Spain.
  • D. Ozark
    Ozark is a dark crime drama television series that follows a financial planner who relocates his family to the Missouri Ozarks to launder money for a Mexican drug cartel.
  • E. Missouri and Illinois
    Missouri and Illinois are neighboring Midwestern U.S. states whose shared boundary is largely defined by the Mississippi River.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b207cc8190b85b1ff0910b54da completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f3170481909f3981c1e56235d9 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 12:59 a.m.