Triple

T1175437
Position Surface form Disambiguated ID Type / Status
Subject Marion County, Missouri E25013 entity
Predicate hasCity P316 FINISHED
Object South River, Missouri
South River, Missouri is a small community located in Marion County in the northeastern part of the state.
E213597 NE FINISHED

How this triple was built (4 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: South River, Missouri | Statement: [Marion County, Missouri, hasCity, South River, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South River, Missouri
Context triple: [Marion County, Missouri, hasCity, South River, Missouri]
  • A. Sibley, Missouri
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • B. Sugar Creek, Missouri
    Sugar Creek, Missouri is a small city in the Kansas City metropolitan area known historically for its oil refinery and blue-collar community character.
  • C. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • D. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • E. Raytown, Missouri
    Raytown, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and local community character.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: South River, Missouri
Triple: [Marion County, Missouri, hasCity, South River, Missouri]
Generated description
South River, Missouri is a small community located in Marion County in the northeastern part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: South River, Missouri
Target entity description: South River, Missouri is a small community located in Marion County in the northeastern part of the state.
  • A. Sibley, Missouri
    Sibley, Missouri is a small village in western Missouri known for its proximity to the historic Fort Osage site along the Missouri River.
  • B. Sugar Creek, Missouri
    Sugar Creek, Missouri is a small city in the Kansas City metropolitan area known historically for its oil refinery and blue-collar community character.
  • C. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • D. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • E. Raytown, Missouri
    Raytown, Missouri is a suburban city in the Kansas City metropolitan area known for its residential neighborhoods and local community character.
  • F. None of above. chosen

Provenance (5 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_69a494267b4c819088c97a59182bf56a completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd0d5c288190b597dae0fbe3b43b completed March 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69adeab57c8c81908b1dbdaf7ba4b29b completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeccddc788190be7ddb822f1b5d67 completed March 8, 2026, 9:40 p.m.
NED2 Entity disambiguation (via description) batch_69aded53100081909239afdc676e45ab completed March 8, 2026, 9:42 p.m.
Created at: March 1, 2026, 7:45 p.m.