Triple

T20288416
Position Surface form Disambiguated ID Type / Status
Subject Atchison County, Kansas E509950 entity
Predicate hasCity P316 FINISHED
Object Lancaster, Kansas
Lancaster, Kansas is a small rural city located in northeastern Kansas within Atchison County.
E1432608 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: Lancaster, Kansas | Statement: [Atchison County, Kansas, hasCity, Lancaster, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lancaster, Kansas
Context triple: [Atchison County, Kansas, hasCity, Lancaster, Kansas]
  • A. Lansing, Kansas
    Lansing, Kansas is a small city in Leavenworth County known for housing the Lansing Correctional Facility and serving as part of the greater Kansas City metropolitan area.
  • B. Langdon, Kansas
    Langdon, Kansas is a small rural community located in Reno County in the central part of the U.S. state of Kansas.
  • C. Lucas, Kansas
    Lucas, Kansas is a small rural town in north-central Kansas known for its grassroots art, folk-art environments, and designation as the “Grassroots Art Capital of Kansas.”
  • D. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • E. Louisville, Kansas
    Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
  • 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: Lancaster, Kansas
Triple: [Atchison County, Kansas, hasCity, Lancaster, Kansas]
Generated description
Lancaster, Kansas is a small rural city located in northeastern Kansas within Atchison County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lancaster, Kansas
Target entity description: Lancaster, Kansas is a small rural city located in northeastern Kansas within Atchison County.
  • A. Lansing, Kansas
    Lansing, Kansas is a small city in Leavenworth County known for housing the Lansing Correctional Facility and serving as part of the greater Kansas City metropolitan area.
  • B. Langdon, Kansas
    Langdon, Kansas is a small rural community located in Reno County in the central part of the U.S. state of Kansas.
  • C. Lucas, Kansas
    Lucas, Kansas is a small rural town in north-central Kansas known for its grassroots art, folk-art environments, and designation as the “Grassroots Art Capital of Kansas.”
  • D. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • E. Louisville, Kansas
    Louisville, Kansas is a small rural community in Pottawatomie County that forms part of the Manhattan, Kansas region.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6769414488190b38e07fd1e989aba completed April 20, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088afcd0c881908dfe3294d4620a54 completed May 16, 2026, 3:19 p.m.
NEDg Description generation batch_6a088c2bb7c48190b5d6d6d4cddce2c5 completed May 16, 2026, 3:24 p.m.
NED2 Entity disambiguation (via description) batch_6a088c8e936c8190897293a0edcdfef9 completed May 16, 2026, 3:26 p.m.
Created at: April 16, 2026, 11:10 a.m.