Triple

T9643757
Position Surface form Disambiguated ID Type / Status
Subject Phillips Park Zoo E233140 entity
Predicate municipality P852 FINISHED
Object City of Aurora E45952 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: City of Aurora | Statement: [Phillips Park Zoo, municipality, City of Aurora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Aurora
Context triple: [Phillips Park Zoo, municipality, City of Aurora]
  • A. Town of Aurora
    The Town of Aurora is a suburban municipality in central Ontario, Canada, known for its residential communities, parks, and role as part of the Greater Toronto Area.
  • B. Aurora, Illinois chosen
    Aurora, Illinois is a major city in the Chicago metropolitan area known for its historic downtown, diverse population, and role as a regional economic and cultural center.
  • C. The Garden City
    The Garden City is a nickname for Newton, Massachusetts, reflecting its abundant green spaces, tree-lined streets, and residential charm.
  • D. The Garden City
    The Garden City is a nickname for St. Catharines, a city in Ontario, Canada known for its abundant parks, green spaces, and floral beauty.
  • E. The Garden City
    The Garden City is a popular nickname for Christchurch, New Zealand, highlighting its extensive parks, gardens, and tree-lined streets.
  • 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_69ca848a5a908190aad251f4137b0c3a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b7e2c488190b0f0dfa6d82618c8 completed April 1, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18252c1cc81908d33c9c55d645fbf completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:12 p.m.