Triple

T16153374
Position Surface form Disambiguated ID Type / Status
Subject Donley County E391970 entity
Predicate hasCity P316 FINISHED
Object Hedley
Hedley is a small rural city located in Donley County in the Texas Panhandle.
 E1197810 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: Hedley | Statement: [Donley County, hasCity, Hedley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hedley
Context triple: [Donley County, hasCity, Hedley]
  • A. Hemsley
    Hemsley is a surname most notably associated with American actor Sherman Hemsley, famed for his role as George Jefferson on television.
  • B. Heeley
    Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
  • C. Hedison
    Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • 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: Hedley
Triple: [Donley County, hasCity, Hedley]
Generated description
Hedley is a small rural city located in Donley County in the Texas Panhandle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hedley
Target entity description: Hedley is a small rural city located in Donley County in the Texas Panhandle.
  • A. Hemsley
    Hemsley is a surname most notably associated with American actor Sherman Hemsley, famed for his role as George Jefferson on television.
  • B. Heeley
    Heeley is a district in the city of Sheffield, South Yorkshire, England, known for its residential areas, local amenities, and proximity to green spaces.
  • C. Hedison
    Hedison is a surname most notably associated with American photographer and director Alexandra Hedison and her family.
  • D. Hannen
    Hannen is an English surname associated with several notable figures, including actors and judges, in British history.
  • E. Hagey
    Hagey is a surname most notably associated with Gerald Hagey, a prominent Canadian academic and founding president of the University of Waterloo.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ac6d1c8190a8553ceb5ec06119 completed May 10, 2026, 3:12 a.m.
NEDg Description generation batch_69fff90570f0819087c96f33f8f45428 completed May 10, 2026, 3:18 a.m.
NED2 Entity disambiguation (via description) batch_69fff99aadf081908050c2941c1e5f96 completed May 10, 2026, 3:20 a.m.
Created at: April 10, 2026, 5:01 a.m.