Triple

T19864745
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 60 (Missouri) E477360 entity
Predicate passesThrough P225 FINISHED
Object Dexter, Missouri
Dexter, Missouri is a small city in southeastern Missouri that serves as a regional hub for agriculture, commerce, and transportation.
E1399094 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: Dexter, Missouri | Statement: [U.S. Route 60 (Missouri), passesThrough, Dexter, Missouri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dexter, Missouri
Context triple: [U.S. Route 60 (Missouri), passesThrough, Dexter, Missouri]
  • A. Dearborn, Missouri
    Dearborn, Missouri is a small rural city in the Kansas City metropolitan area known for its agricultural surroundings and tight-knit community.
  • B. Estill, Missouri
    Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
  • C. Dixie, Missouri
    Dixie, Missouri is a small unincorporated rural community located in Callaway County in the U.S. state of Missouri.
  • D. Duquesne, Missouri
    Duquesne, Missouri is a small city located in southwestern Missouri that forms part of the Joplin metropolitan area.
  • E. New London, Missouri
    New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • 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: Dexter, Missouri
Triple: [U.S. Route 60 (Missouri), passesThrough, Dexter, Missouri]
Generated description
Dexter, Missouri is a small city in southeastern Missouri that serves as a regional hub for agriculture, commerce, and transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dexter, Missouri
Target entity description: Dexter, Missouri is a small city in southeastern Missouri that serves as a regional hub for agriculture, commerce, and transportation.
  • A. Dearborn, Missouri
    Dearborn, Missouri is a small rural city in the Kansas City metropolitan area known for its agricultural surroundings and tight-knit community.
  • B. Estill, Missouri
    Estill, Missouri is a small unincorporated community located in Howard County in the central part of the state.
  • C. Dixie, Missouri
    Dixie, Missouri is a small unincorporated rural community located in Callaway County in the U.S. state of Missouri.
  • D. Duquesne, Missouri
    Duquesne, Missouri is a small city located in southwestern Missouri that forms part of the Joplin metropolitan area.
  • E. New London, Missouri
    New London, Missouri is a small city in northeastern Missouri that serves as the administrative and governmental center of Ralls County.
  • 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6589d55a88190af7d4e12c4b07739 completed April 20, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d44b9c948190a5d42d7e39fa60aa completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d7a80f588190a61ff318a4800e10 completed May 16, 2026, 2:34 a.m.
NED2 Entity disambiguation (via description) batch_6a07d89ae8308190a8bc35e303976fea completed May 16, 2026, 2:38 a.m.
Created at: April 10, 2026, 1:51 p.m.