Triple

T12641085
Position Surface form Disambiguated ID Type / Status
Subject Waterloo, Indiana E301897 entity
Predicate nearbyCity P350 FINISHED
Object Auburn, Indiana
Auburn, Indiana is a small city in northeastern Indiana known for its rich automotive history and annual classic car festivals.
E1056377 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: Auburn, Indiana | Statement: [Waterloo, Indiana, nearbyCity, Auburn, Indiana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Auburn, Indiana
Context triple: [Waterloo, Indiana, nearbyCity, Auburn, Indiana]
  • A. Utica, Indiana
    Utica, Indiana is a small town in southern Indiana situated along the Ohio River near the Louisville metropolitan area.
  • B. Rochester, Indiana
    Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
  • C. Albion, Indiana
    Albion, Indiana is a small Midwestern town that serves as the administrative and civic center of Noble County.
  • D. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • E. Abington, Indiana
    Abington, Indiana is a small unincorporated rural community located in eastern Indiana within Wayne County.
  • 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: Auburn, Indiana
Triple: [Waterloo, Indiana, nearbyCity, Auburn, Indiana]
Generated description
Auburn, Indiana is a small city in northeastern Indiana known for its rich automotive history and annual classic car festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Auburn, Indiana
Target entity description: Auburn, Indiana is a small city in northeastern Indiana known for its rich automotive history and annual classic car festivals.
  • A. Utica, Indiana
    Utica, Indiana is a small town in southern Indiana situated along the Ohio River near the Louisville metropolitan area.
  • B. Rochester, Indiana
    Rochester, Indiana is a small city in Fulton County that serves as the county seat and a local hub for the surrounding rural region in northern Indiana.
  • C. Albion, Indiana
    Albion, Indiana is a small Midwestern town that serves as the administrative and civic center of Noble County.
  • D. Atlanta, Indiana
    Atlanta, Indiana is a small rural town in central Indiana known for its close-knit community and annual New Earth Festival.
  • E. Abington, Indiana
    Abington, Indiana is a small unincorporated rural community located in eastern Indiana within Wayne County.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9614ae6ac8190b42acbf2b0331fda completed April 10, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d2f958c819094b3c43f8bbd362b completed May 3, 2026, 7:08 p.m.
NEDg Description generation batch_69f79de1ad708190b1862b9e97da6f15 completed May 3, 2026, 7:11 p.m.
NED2 Entity disambiguation (via description) batch_69f79e7d50a88190b2a90094dd6d48ad completed May 3, 2026, 7:14 p.m.
Created at: April 9, 2026, 5:17 p.m.