Triple

T8494287
Position Surface form Disambiguated ID Type / Status
Subject Ashland, Pennsylvania E201055 entity
Predicate hasName P744 FINISHED
Object Ashland
Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
 E746460 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: Ashland | Statement: [Ashland, Pennsylvania, hasName, Ashland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashland
Context triple: [Ashland, Pennsylvania, hasName, Ashland]
  • A. Ashland
    Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
  • B. Ashland
    Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
  • C. Ashland
    Ashland is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
  • D. Ashland, Ohio
    Ashland, Ohio is a small city in north-central Ohio known historically as a regional manufacturing and agricultural center and home to Ashland University.
  • E. Ashland, Kentucky
    Ashland, Kentucky is a small industrial and riverfront city in northeastern Kentucky, known as part of the Huntington–Ashland metropolitan area along the Ohio River.
  • 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: Ashland
Triple: [Ashland, Pennsylvania, hasName, Ashland]
Generated description
Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashland
Target entity description: Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
  • A. Ashland
    Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
  • B. Ashland
    Ashland is a Chicago 'L' rapid transit station on the CTA's Pink Line serving the city's Near West Side.
  • C. Ashland
    Ashland is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
  • D. Ashland, Ohio
    Ashland, Ohio is a small city in north-central Ohio known historically as a regional manufacturing and agricultural center and home to Ashland University.
  • E. Ashland, Kentucky
    Ashland, Kentucky is a small industrial and riverfront city in northeastern Kentucky, known as part of the Huntington–Ashland metropolitan area along the Ohio River.
  • 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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57c01f881908cb77c8c834ac08d completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb5dbfc08190827e8e886a37a8be completed April 2, 2026, 6:54 p.m.
NEDg Description generation batch_69cebcdb197881908eeb6c5e4b225a2c completed April 2, 2026, 7 p.m.
NED2 Entity disambiguation (via description) batch_69cebd85ad8481909518afd02dbc5358 completed April 2, 2026, 7:03 p.m.
Created at: March 30, 2026, 6:13 p.m.