Triple

T1404160
Position Surface form Disambiguated ID Type / Status
Subject Augusta AVA E31651 entity
Predicate hasSettlement P1068 FINISHED
Object Augusta, Missouri E307152 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: Augusta, Missouri | Statement: [Augusta AVA, hasSettlement, Augusta, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Augusta, Missouri
Context triple: [Augusta AVA, hasSettlement, Augusta, Missouri]
  • A. Augusta, Missouri chosen
    Augusta, Missouri is a small historic town along the Missouri River known for its wineries and role in one of the United States’ earliest designated wine regions.
  • B. Stockton, Missouri
    Stockton, Missouri is a small city in southwestern Missouri known for its proximity to Stockton Lake and its role as the administrative and commercial center of Cedar County.
  • C. Columbia, Missouri
    Columbia, Missouri is a mid-sized city in central Missouri best known as a vibrant college town home to the University of Missouri.
  • D. Strasburg, Missouri
    Strasburg, Missouri is a small rural city located in Cass County in western Missouri, United States.
  • E. Cleveland, Missouri
    Cleveland, Missouri is a small rural city in southwestern Cass County that forms part of the Kansas City metropolitan area.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3a0330c8190b22452d29c79fcf4 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b05570cd488190bd9ce6b3a854a427 completed March 10, 2026, 5:31 p.m.
Created at: March 1, 2026, 7:59 p.m.