Triple

T15055590
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 67 E379481 entity
Predicate passesThrough P225 FINISHED
Object Farmington, Missouri E838257 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: Farmington, Missouri | Statement: [U.S. Route 67, passesThrough, Farmington, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farmington, Missouri
Context triple: [U.S. Route 67, passesThrough, Farmington, Missouri]
  • A. Farmington, Missouri chosen
    Farmington, Missouri is a small city in St. Francois County known as a regional hub for commerce, education, and outdoor recreation in southeastern Missouri.
  • B. New London, Missouri
    New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • C. Madison, Missouri
    Madison, Missouri is a small city located in Monroe County in the central part of the U.S. state of Missouri.
  • D. Dearborn, Missouri
    Dearborn, Missouri is a small rural city in the Kansas City metropolitan area known for its agricultural surroundings and tight-knit community.
  • E. Wellington, Missouri
    Wellington, Missouri is a small city situated along the Missouri River in Lafayette County, known for its rural character and historic Midwestern setting.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69deda937f788190899d81bbb2084443 completed April 15, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa92b99c48190b76e1306cf32a568 completed May 9, 2026, 9:37 p.m.
Created at: April 10, 2026, 3:01 a.m.