Triple

T21328172
Position Surface form Disambiguated ID Type / Status
Subject Mark Twain Lake E525818 entity
Predicate locatedNear P294 FINISHED
Object Monroe City, Missouri 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: Monroe City, Missouri | Statement: [Mark Twain Lake, locatedNear, Monroe City, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monroe City, Missouri
Context triple: [Mark Twain Lake, locatedNear, Monroe City, Missouri]
  • A. Monroe City, Missouri chosen
    Monroe City, Missouri is a small city in northeastern Missouri known for its agricultural surroundings and proximity to Mark Twain Lake.
  • B. Montrose, Missouri
    Montrose, Missouri is a small rural city in western Missouri known for its agricultural surroundings and tight-knit community.
  • C. New London, Missouri
    New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • D. Missouri City, Missouri
    Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
  • E. Monett, Missouri
    Monett, Missouri is a small city spanning Barry and Lawrence counties in southwestern Missouri, known historically as a regional railroad and agricultural hub.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab4e88848190b6efe85a4c8cd85a completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:41 p.m.