Triple

T7039462
Position Surface form Disambiguated ID Type / Status
Subject Rutland, Vermont E163469 entity
Predicate hasNewspaper P80 FINISHED
Object Rutland Herald
Rutland Herald is a long-running daily newspaper serving the city of Rutland and the surrounding region in Vermont.
 E636651 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: Rutland Herald | Statement: [Rutland, Vermont, hasNewspaper, Rutland Herald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rutland Herald
Context triple: [Rutland, Vermont, hasNewspaper, Rutland Herald]
  • A. Southam
    Southam is a small historic market town in Warwickshire, England, known for its medieval origins and location near the River Stowe.
  • B. Rutland City
    Rutland City is a small city in central Vermont known historically as a regional center for marble quarrying and rail transport.
  • C. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • D. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • E. Rutland
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • 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: Rutland Herald
Triple: [Rutland, Vermont, hasNewspaper, Rutland Herald]
Generated description
Rutland Herald is a long-running daily newspaper serving the city of Rutland and the surrounding region in Vermont.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rutland Herald
Target entity description: Rutland Herald is a long-running daily newspaper serving the city of Rutland and the surrounding region in Vermont.
  • A. Southam
    Southam is a small historic market town in Warwickshire, England, known for its medieval origins and location near the River Stowe.
  • B. Rutland City
    Rutland City is a small city in central Vermont known historically as a regional center for marble quarrying and rail transport.
  • C. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • D. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • E. Rutland
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e22426508190ad7a17d14a086a3e completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775ac21888190a1adcf86b49b345f completed March 28, 2026, 6:31 a.m.
NEDg Description generation batch_69c777f9b41881909566511e97725fde completed March 28, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69c778717e888190a0b2a5914d13cb71 completed March 28, 2026, 6:42 a.m.
Created at: March 27, 2026, 2:36 p.m.