Triple

T1174306
Position Surface form Disambiguated ID Type / Status
Subject David Barton E24981 entity
Predicate placeOfDeath P21 FINISHED
Object Boonville, Missouri
Boonville, Missouri is a historic small city on the Missouri River known for its 19th-century architecture and role in the American Civil War.
E194047 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: Boonville, Missouri | Statement: [David Barton, placeOfDeath, Boonville, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boonville, Missouri
Context triple: [David Barton, placeOfDeath, Boonville, Missouri]
  • A. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • B. 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.
  • C. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • D. Greenwood, Missouri
    Greenwood, Missouri is a small suburban city in the Kansas City metropolitan area located in Jackson County in western Missouri.
  • E. Missouri City, Missouri
    Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
  • 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: Boonville, Missouri
Triple: [David Barton, placeOfDeath, Boonville, Missouri]
Generated description
Boonville, Missouri is a historic small city on the Missouri River known for its 19th-century architecture and role in the American Civil War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Boonville, Missouri
Target entity description: Boonville, Missouri is a historic small city on the Missouri River known for its 19th-century architecture and role in the American Civil War.
  • A. Buckner, Missouri
    Buckner, Missouri is a small city located in eastern Jackson County within the Kansas City metropolitan area.
  • B. 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.
  • C. Levasy, Missouri
    Levasy, Missouri is a small rural city located in eastern Jackson County within the Kansas City metropolitan area.
  • D. Greenwood, Missouri
    Greenwood, Missouri is a small suburban city in the Kansas City metropolitan area located in Jackson County in western Missouri.
  • E. Missouri City, Missouri
    Missouri City, Missouri is a small suburban community in Clay County that forms part of the greater Kansas City metropolitan area.
  • 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_69a494082a7c819095004f423f294a64 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcee38c881909c2fc73ba35f7253 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad8a9f91808190b44715dc3df31cc3 completed March 8, 2026, 2:41 p.m.
NEDg Description generation batch_69ad95738df081909e56178cc1e0ab74 completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97a1a44c8190a9d8fe05837ec9ff completed March 8, 2026, 3:37 p.m.
Created at: March 1, 2026, 7:45 p.m.