Triple

T2300536
Position Surface form Disambiguated ID Type / Status
Subject Texas Panhandle E51719 entity
Predicate hasCounty P285 FINISHED
Object Donley County
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
E391970 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: Donley County | Statement: [Texas Panhandle, hasCounty, Donley County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donley County
Context triple: [Texas Panhandle, hasCounty, Donley County]
  • A. Burnet County
    Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
  • B. Briscoe County
    Briscoe County is a rural county in the Texas Panhandle known for its agricultural economy and proximity to the scenic Caprock Canyons region.
  • C. Parmer County
    Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
  • D. Ringgold County
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • E. Ellis County
    Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
  • 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: Donley County
Triple: [Texas Panhandle, hasCounty, Donley County]
Generated description
Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Donley County
Target entity description: Donley County is a rural county in the Texas Panhandle known for its ranching heritage, small communities, and wide-open High Plains landscapes.
  • A. Burnet County
    Burnet County is a central Texas county known for its scenic lakes, rolling hills, and outdoor recreation in the Texas Hill Country.
  • B. Briscoe County
    Briscoe County is a rural county in the Texas Panhandle known for its agricultural economy and proximity to the scenic Caprock Canyons region.
  • C. Parmer County
    Parmer County is a rural county in the western Texas Panhandle known for its agriculture-based economy and small, close-knit communities.
  • D. Ringgold County
    Ringgold County is a rural county located in the southwestern part of the U.S. state of Iowa.
  • E. Ellis County
    Ellis County is a rural county in northwestern Oklahoma known for its agricultural economy and small, sparsely populated communities.
  • 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_69a88b0a9f248190bcff941463d8f65a completed March 4, 2026, 7:42 p.m.
NER Named-entity recognition batch_69abc5edc1348190a4d84606b1310711 completed March 7, 2026, 6:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69b503cf9f8881908dc371d5acb952cf completed March 14, 2026, 6:44 a.m.
NEDg Description generation batch_69b5047828e881908fe936119a0a2c8e completed March 14, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_69b504c5520881909f740275fe6640fb completed March 14, 2026, 6:48 a.m.
Created at: March 4, 2026, 7:49 p.m.