Triple

T5691444
Position Surface form Disambiguated ID Type / Status
Subject Southeast Kansas E125435 entity
Predicate contains P35 FINISHED
Object Neodesha, Kansas
Neodesha, Kansas is a small city in Wilson County known historically as an early Midwestern oil boom town and part of the Southeast Kansas region.
E583644 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: Neodesha, Kansas | Statement: [Southeast Kansas, contains, Neodesha, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neodesha, Kansas
Context triple: [Southeast Kansas, contains, Neodesha, Kansas]
  • A. Tecumseh, Kansas
    Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
  • B. White City, Kansas
    White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
  • C. Iola, Kansas
    Iola, Kansas is a small city that serves as the county seat of Allen County and a local economic and cultural hub in southeastern Kansas.
  • D. Parsons, Kansas
    Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern Kansas.
  • E. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the 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: Neodesha, Kansas
Triple: [Southeast Kansas, contains, Neodesha, Kansas]
Generated description
Neodesha, Kansas is a small city in Wilson County known historically as an early Midwestern oil boom town and part of the Southeast Kansas region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Neodesha, Kansas
Target entity description: Neodesha, Kansas is a small city in Wilson County known historically as an early Midwestern oil boom town and part of the Southeast Kansas region.
  • A. Tecumseh, Kansas
    Tecumseh, Kansas is a small unincorporated community in northeastern Kansas, located just east of Topeka along the Kansas River.
  • B. White City, Kansas
    White City, Kansas is a small rural town in Morris County that forms part of the Manhattan, Kansas metropolitan area.
  • C. Iola, Kansas
    Iola, Kansas is a small city that serves as the county seat of Allen County and a local economic and cultural hub in southeastern Kansas.
  • D. Parsons, Kansas
    Parsons, Kansas is a small city in Labette County known historically as a regional railroad hub and industrial center in southeastern Kansas.
  • E. De Soto, Kansas
    De Soto, Kansas is a small city in northeastern Kansas that forms part of the 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_69c5e38ae278819096aefcfbf98873dd completed March 27, 2026, 1:55 a.m.
NEDg Description generation batch_69c5e4af6b28819088158c50de820297 completed March 27, 2026, 2 a.m.
NED2 Entity disambiguation (via description) batch_69c5e5abb4408190a2a54a26e1479851 completed March 27, 2026, 2:04 a.m.
Created at: March 22, 2026, 3:44 p.m.