Triple

T15075258
Position Surface form Disambiguated ID Type / Status
Subject Stuart Sports Complex E379982 entity
Predicate city P40 FINISHED
Object Aurora
Aurora is a city in Illinois known as a major suburb of Chicago with a diverse population and a mix of residential, commercial, and recreational areas.
 E78149 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: Aurora | Statement: [Stuart Sports Complex, city, Aurora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aurora
Context triple: [Stuart Sports Complex, city, Aurora]
  • A. Aurora
    Aurora was a Russian protected cruiser famed for firing the symbolic shot that signaled the start of the October Revolution in 1917.
  • B. Aurora
    Aurora is a mystical and theosophical treatise by Jakob Böhme that explores the nature of God, creation, and spiritual rebirth through symbolic and visionary theology.
  • C. Aurora
    Aurora is a Norwegian singer-songwriter known for her ethereal vocals, atmospheric electropop sound, and introspective, nature-inspired lyrics.
  • D. Aurora
    Aurora is an autonomous vehicle technology company focused on developing self-driving systems for cars, trucks, and other vehicles.
  • E. Aurora
    Aurora is a protected entity or realm under the guardianship of the being known as Fauna.
  • 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: Aurora
Triple: [Stuart Sports Complex, city, Aurora]
Generated description
Aurora is a city in Illinois known as a major suburb of Chicago with a diverse population and a mix of residential, commercial, and recreational areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aurora
Target entity description: Aurora is a city in Illinois known as a major suburb of Chicago with a diverse population and a mix of residential, commercial, and recreational areas.
  • A. Aurora chosen
    Aurora is a major city in northeastern Illinois, known as a key suburb of Chicago and a regional center for industry, transportation, and technology.
  • B. Aurora
    Aurora is a major suburban city in the Denver metropolitan area of Colorado, known for its diverse population, extensive parks and open spaces, and role as a key economic and residential hub on the eastern side of the metro region.
  • C. Aurora
    Aurora is a suburban town in central York Region, Ontario, known as an affluent residential community within the Greater Toronto Area.
  • D. Aurora
    Aurora is a residential neighborhood located within the Algiers area of New Orleans, Louisiana.
  • E. Aurora
    Aurora is a wealthy, technologically advanced Spacer world in Isaac Asimov’s Robot series, known for its robot-dependent society and pivotal role in the development of human-robot relations.
  • F. None of above.

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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fb60448190b454386dd762644d completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fea5d2765481908f101bef483ed02f completed May 9, 2026, 3:11 a.m.
NEDg Description generation batch_69fea6a27c608190b1bd64c6ed90d268 completed May 9, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_69feaa8e608881909e9a7f4295e13d31 completed May 9, 2026, 3:31 a.m.
Created at: April 10, 2026, 3:02 a.m.