Triple

T16406446
Position Surface form Disambiguated ID Type / Status
Subject Ashland Middle School E398443 entity
Predicate town P3385 FINISHED
Object Ashland
Ashland is a town that serves as the community setting for Ashland Middle School.
 E1212623 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 Middle School, town, Ashland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ashland
Context triple: [Ashland Middle School, town, 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
    Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
  • E. Ashland
    Ashland is a small city in southern Oregon known for its vibrant arts scene, including the Oregon Shakespeare Festival, and its proximity to outdoor recreation areas.
  • 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 Middle School, town, Ashland]
Generated description
Ashland is a town that serves as the community setting for Ashland Middle School.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ashland
Target entity description: Ashland is a town that serves as the community setting for Ashland Middle School.
  • A. Ashland
    Ashland is a suburban town in eastern Massachusetts known for its residential neighborhoods, schools, and proximity to the Boston metropolitan area.
  • B. Ashland
    Ashland is a small town in northern Mississippi that serves as the administrative and cultural center of Benton County.
  • C. Ashland
    Ashland is a small New England town in Grafton County, New Hampshire, known for its historic mill heritage and scenic location near Squam Lake.
  • D. Ashland
    Ashland is a small borough in Schuylkill County, Pennsylvania, historically known for its anthracite coal mining heritage.
  • E. Ashland
    Ashland is an unincorporated community in Alameda County, California, situated in the East Bay region of the San Francisco Bay Area.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d2b4e48190b7153f198639e9cd completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c62614c8190acd6d211cab1be11 completed May 10, 2026, 8:05 a.m.
NEDg Description generation batch_6a003dc6f4888190ae326c9606d2a674 completed May 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a0041842cc88190b81432d234f9aa17 completed May 10, 2026, 8:27 a.m.
Created at: April 10, 2026, 5:09 a.m.