Triple

T8568075
Position Surface form Disambiguated ID Type / Status
Subject Vernon, Texas E202857 entity
Predicate hasNewspaper P80 FINISHED
Object Vernon Daily Record
The Vernon Daily Record is a local newspaper serving the community of Vernon, Texas with news, sports, and regional coverage.
E743662 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: Vernon Daily Record | Statement: [Vernon, Texas, hasNewspaper, Vernon Daily Record]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vernon Daily Record
Context triple: [Vernon, Texas, hasNewspaper, Vernon Daily Record]
  • A. Marion Daily Star
    The Marion Daily Star was a local Ohio newspaper best known as the publication owned and edited by future U.S. President Warren G. Harding.
  • B. Rutland Herald
    Rutland Herald is a long-running daily newspaper serving the city of Rutland and the surrounding region in Vermont.
  • C. Greene County Messenger
    Greene County Messenger is a local newspaper serving the community of Waynesburg and the surrounding areas in Greene County, Pennsylvania.
  • D. Canby Herald
    The Canby Herald is a local newspaper serving the community of Canby, Oregon with news, events, and community information.
  • E. Daily Herald
    The Daily Herald was a British daily newspaper known for its left-wing, pro-labour stance and mass working-class readership during much of the 20th century.
  • 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: Vernon Daily Record
Triple: [Vernon, Texas, hasNewspaper, Vernon Daily Record]
Generated description
The Vernon Daily Record is a local newspaper serving the community of Vernon, Texas with news, sports, and regional coverage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vernon Daily Record
Target entity description: The Vernon Daily Record is a local newspaper serving the community of Vernon, Texas with news, sports, and regional coverage.
  • A. Marion Daily Star
    The Marion Daily Star was a local Ohio newspaper best known as the publication owned and edited by future U.S. President Warren G. Harding.
  • B. Rutland Herald
    Rutland Herald is a long-running daily newspaper serving the city of Rutland and the surrounding region in Vermont.
  • C. Greene County Messenger
    Greene County Messenger is a local newspaper serving the community of Waynesburg and the surrounding areas in Greene County, Pennsylvania.
  • D. Canby Herald
    The Canby Herald is a local newspaper serving the community of Canby, Oregon with news, events, and community information.
  • E. Daily Herald
    The Daily Herald was a British daily newspaper known for its left-wing, pro-labour stance and mass working-class readership during much of the 20th century.
  • 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d5d4ac8190a4d74c88b872d0b7 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce897098388190a1d445978d97def3 completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8c9727208190adf14e7d2ba7af17 completed April 2, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d595d80819093a1b849bcb3c7c7 completed April 2, 2026, 3:38 p.m.
Created at: March 30, 2026, 6:21 p.m.