Triple

T18809859
Position Surface form Disambiguated ID Type / Status
Subject Ellis County E459978 entity
Predicate borderingCounty P6346 FINISHED
Object Ness County
Ness County is a rural county in western Kansas known for its agricultural landscape and small, close-knit communities.
E1346821 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: Ness County | Statement: [Ellis County, borderingCounty, Ness County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ness County
Context triple: [Ellis County, borderingCounty, Ness County]
  • A. Crane County
    Crane County is a sparsely populated county in western Texas known for its oil production and rural desert landscape.
  • B. Cleburne County
    Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
  • C. Kendall County
    Kendall County is a suburban county in northeastern Illinois that forms part of the Chicago metropolitan area and includes rapidly growing communities southwest of the city.
  • D. Kendall County
    Kendall County is a county in the Texas Hill Country region known for its German heritage, scenic landscapes, and county seat of Boerne.
  • E. Peel County
    Peel County was a historic county in southern Ontario, Canada, that once formed part of the regional division of the province before later being reorganized into the Regional Municipality of Peel.
  • 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: Ness County
Triple: [Ellis County, borderingCounty, Ness County]
Generated description
Ness County is a rural county in western Kansas known for its agricultural landscape and small, close-knit communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ness County
Target entity description: Ness County is a rural county in western Kansas known for its agricultural landscape and small, close-knit communities.
  • A. Crane County
    Crane County is a sparsely populated county in western Texas known for its oil production and rural desert landscape.
  • B. Cleburne County
    Cleburne County is a rural county in eastern Alabama known for its mountainous terrain and inclusion of part of the Talladega National Forest.
  • C. Kendall County
    Kendall County is a suburban county in northeastern Illinois that forms part of the Chicago metropolitan area and includes rapidly growing communities southwest of the city.
  • D. Kendall County
    Kendall County is a county in the Texas Hill Country region known for its German heritage, scenic landscapes, and county seat of Boerne.
  • E. Peel County
    Peel County was a historic county in southern Ontario, Canada, that once formed part of the regional division of the province before later being reorganized into the Regional Municipality of Peel.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3db38ec8190ab5bef15bc6789be completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0575aa63288190867ed95aecb75434 completed May 14, 2026, 7:11 a.m.
NEDg Description generation batch_6a0578e4860c8190ad75eceb9a24613e completed May 14, 2026, 7:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0579373644819092e7208ea5ebf8ce completed May 14, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:53 a.m.