Triple

T5691457
Position Surface form Disambiguated ID Type / Status
Subject Southeast Kansas E125435 entity
Predicate contains P35 FINISHED
Object Mound City, Kansas
Mound City, Kansas is a small rural city in Linn County that serves as the county seat in southeastern Kansas.
E549860 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: Mound City, Kansas | Statement: [Southeast Kansas, contains, Mound City, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mound City, Kansas
Context triple: [Southeast Kansas, contains, Mound City, Kansas]
  • A. Tecumseh, Kansas
    Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
  • B. Council Grove, Kansas
    Council Grove, Kansas is a historic town in central Kansas known for its key role as a major stopping point and supply station along the 19th-century Santa Fe Trail.
  • C. Columbus, Kansas
    Columbus, Kansas is a small city in southeastern Kansas known historically as a regional center for agriculture and mining.
  • D. White City, Kansas
    White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
  • E. Shawnee, Kansas
    Shawnee, Kansas is a suburban city in Johnson 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: Mound City, Kansas
Triple: [Southeast Kansas, contains, Mound City, Kansas]
Generated description
Mound City, Kansas is a small rural city in Linn County that serves as the county seat in southeastern Kansas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mound City, Kansas
Target entity description: Mound City, Kansas is a small rural city in Linn County that serves as the county seat in southeastern Kansas.
  • A. Tecumseh, Kansas
    Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
  • B. Council Grove, Kansas
    Council Grove, Kansas is a historic town in central Kansas known for its key role as a major stopping point and supply station along the 19th-century Santa Fe Trail.
  • C. Columbus, Kansas
    Columbus, Kansas is a small city in southeastern Kansas known historically as a regional center for agriculture and mining.
  • D. White City, Kansas
    White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
  • E. Shawnee, Kansas
    Shawnee, Kansas is a suburban city in Johnson 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e500ec8190bfda4f6a818aa5dc completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a155d9b48190aaf63e0bc4dcb072 completed March 23, 2026, 2:11 a.m.
NEDg Description generation batch_69c0a2ab17f481908f2d492e4d9d90fb completed March 23, 2026, 2:17 a.m.
NED2 Entity disambiguation (via description) batch_69c0a323d9248190aa803c27be3d5eec completed March 23, 2026, 2:19 a.m.
Created at: March 22, 2026, 3:44 p.m.