Triple

T9608658
Position Surface form Disambiguated ID Type / Status
Subject Susanville, California E232039 entity
Predicate formerName P65 FINISHED
Object Rooptown
Rooptown was the original name of Susanville, a small city in northeastern California.
 E810056 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: Rooptown | Statement: [Susanville, California, formerName, Rooptown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rooptown
Context triple: [Susanville, California, formerName, Rooptown]
  • A. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • B. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • C. Reeltown
    Reeltown is a small unincorporated rural community located in Tallapoosa County in eastern Alabama, known for its close-knit population and local high school.
  • D. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • E. Lantzville
    Lantzville is a small coastal community and district municipality on central Vancouver Island in British Columbia, Canada, known for its residential character and seaside setting.
  • 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: Rooptown
Triple: [Susanville, California, formerName, Rooptown]
Generated description
Rooptown was the original name of Susanville, a small city in northeastern California.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rooptown
Target entity description: Rooptown was the original name of Susanville, a small city in northeastern California.
  • A. Shingletown
    Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
  • B. Rosettenville
    Rosettenville is a residential suburb in the south of Johannesburg, South Africa, known for its diverse community and historical religious and educational institutions.
  • C. Reeltown
    Reeltown is a small unincorporated rural community located in Tallapoosa County in eastern Alabama, known for its close-knit population and local high school.
  • D. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • E. Lantzville
    Lantzville is a small coastal community and district municipality on central Vancouver Island in British Columbia, Canada, known for its residential character and seaside setting.
  • 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_69ca8485a90c819094fe40b42fde9d70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a8300e48190bef51f61febc061d completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d179491ecc8190a72be68cc5f572b2 completed April 4, 2026, 8:49 p.m.
NEDg Description generation batch_69d17a5df01081909f20c4a722cef83d completed April 4, 2026, 8:53 p.m.
NED2 Entity disambiguation (via description) batch_69d17adb55648190b01060ade60b0fde completed April 4, 2026, 8:55 p.m.
Created at: March 30, 2026, 8:08 p.m.