Triple

T6254007
Position Surface form Disambiguated ID Type / Status
Subject Corona Chapel E140115 entity
Predicate alsoKnownAs P39 FINISHED
Object Corona E269140 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: Corona | Statement: [Corona Chapel, alsoKnownAs, Corona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corona
Context triple: [Corona Chapel, alsoKnownAs, Corona]
  • A. Corona
    Corona is a globally popular Mexican beer brand produced by Grupo Modelo and widely associated with sports sponsorships and beach-themed marketing.
  • B. Corona chosen
    Corona is a diverse neighborhood in the borough of Queens, New York City, known for its vibrant Latino community and proximity to Flushing Meadows–Corona Park.
  • C. Corona, California
    Corona, California is a rapidly growing suburban city in Riverside County known for its residential communities, proximity to major Southern California freeways, and role as a gateway between Orange County and the Inland Empire.
  • D. Kota
    Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
  • E. Mariestad
    Mariestad is a small historic town in southern Sweden, located on the shores of Lake Vänern and known for its well-preserved old center and lakeside setting.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063625608819081f5422112c80ce5 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2443138788190835ed3fd99f21827 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.