Triple

T4039503
Position Surface form Disambiguated ID Type / Status
Subject Denver–Aurora–Lakewood metropolitan area E83910 entity
Predicate hasPrincipalCity P3940 FINISHED
Object Aurora E77982 NE FINISHED

How this triple was built (2 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: [Denver–Aurora–Lakewood metropolitan area, hasPrincipalCity, Aurora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aurora
Context triple: [Denver–Aurora–Lakewood metropolitan area, hasPrincipalCity, Aurora]
  • A. 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.
  • B. Aurora chosen
    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 coastal province in the Philippines known for its Pacific shoreline, surfing spots like Baler, and lush mountainous landscapes.
  • E. Aurora
    Aurora was a Russian protected cruiser famed for firing the symbolic shot that signaled the start of the October Revolution in 1917.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb37e24c81908d6357ab8ba5388d completed March 9, 2026, 4:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b55646e5d881909eadd0640a4f1796 completed March 14, 2026, 12:36 p.m.
Created at: March 9, 2026, 3:37 p.m.