Triple

T9116431
Position Surface form Disambiguated ID Type / Status
Subject City of Corona E218729 entity
Predicate abbreviation P43 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: [City of Corona, abbreviation, Corona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corona
Context triple: [City of Corona, abbreviation, 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
    Corona is an Italian Eurodance music group best known for their 1993 international hit single "The Rhythm of the Night."
  • D. Coron
    Coron is a popular island municipality in the Philippines renowned for its dramatic limestone cliffs, crystal-clear lagoons, and world-class wreck diving sites.
  • E. Coron
    Coron is a historic coastal town and former Venetian stronghold in the Peloponnese region of Greece, known for its strategic port and role in Mediterranean conflicts.
  • 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_69ca83dc94ac8190b9ef42684d36ff39 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca8a4c9e08190ba3603a5d00afb20 completed April 1, 2026, 5:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0307299ec8190acade4f388642e23 completed April 3, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:17 p.m.