Triple

T2300573
Position Surface form Disambiguated ID Type / Status
Subject Texas Panhandle E51719 entity
Predicate hasCounty P285 FINISHED
Object Hudspeth County
Hudspeth County is a sparsely populated county in far West Texas known for its desert landscapes and proximity to the U.S.–Mexico border.
E388399 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: Hudspeth County | Statement: [Texas Panhandle, hasCounty, Hudspeth County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hudspeth County
Context triple: [Texas Panhandle, hasCounty, Hudspeth County]
  • A. Reeves County
    Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
  • B. Garza County
    Garza County is a rural county in northwestern Texas known for its ranching, agriculture, and location on the edge of the Llano Estacado.
  • C. Hansford County
    Hansford County is a rural county in the far northern Texas Panhandle known for its agriculture-based economy and small, sparsely populated communities.
  • D. Nolan County
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • E. Lamb County
    Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
  • 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: Hudspeth County
Triple: [Texas Panhandle, hasCounty, Hudspeth County]
Generated description
Hudspeth County is a sparsely populated county in far West Texas known for its desert landscapes and proximity to the U.S.–Mexico border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hudspeth County
Target entity description: Hudspeth County is a sparsely populated county in far West Texas known for its desert landscapes and proximity to the U.S.–Mexico border.
  • A. Reeves County
    Reeves County is a sparsely populated county in western Texas known for its oil and gas production and desert landscapes.
  • B. Garza County
    Garza County is a rural county in northwestern Texas known for its ranching, agriculture, and location on the edge of the Llano Estacado.
  • C. Hansford County
    Hansford County is a rural county in the far northern Texas Panhandle known for its agriculture-based economy and small, sparsely populated communities.
  • D. Nolan County
    Nolan County is a county in west-central Texas known for its wind energy production and county seat, Sweetwater.
  • E. Lamb County
    Lamb County is a rural county in northwestern Texas known for its agriculture-based economy and small communities on the High Plains.
  • 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_69b4f00a71a881908790c9fccca51a62 completed March 14, 2026, 5:20 a.m.
NEDg Description generation batch_69b4f19d0f7c8190a32714cbe3b9fa76 completed March 14, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b4f1ecdd788190aebea36578923fad completed March 14, 2026, 5:28 a.m.
Created at: March 4, 2026, 7:49 p.m.