Triple

T3753197
Position Surface form Disambiguated ID Type / Status
Subject State Route 91 E81379 entity
Predicate servesCity P82 FINISHED
Object Corona E76819 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: [State Route 91, servesCity, Corona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corona
Context triple: [State Route 91, servesCity, 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
    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 chosen
    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. Oras
    Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb9340e0819083215989718b4598 completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e5044f3c8190969828966b37e729 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:35 p.m.