Triple

T11805714
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 54 E280741 entity
Predicate passesThrough P225 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: [U.S. Route 54, passesThrough, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missouri
Context triple: [U.S. Route 54, passesThrough, 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. 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.
  • D. Missouri and Illinois
    Missouri and Illinois are neighboring Midwestern U.S. states whose shared boundary is largely defined by the Mississippi River.
  • E. Otoe
    The Otoe are a Native American tribe of the Siouan language family historically located along the Missouri River in the central United States.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5c8324481909a54852a9bb714e0 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1315b4b1481908106984a1362be89 completed April 28, 2026, 10:14 p.m.
Created at: April 8, 2026, 9:42 p.m.