Triple

T20805387
Position Surface form Disambiguated ID Type / Status
Subject Hurricane Wilma E512140 entity
Predicate landfallRegion P33437 FINISHED
Object Quintana Roo, Mexico NE NERFINISHED

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: Quintana Roo, Mexico | Statement: [Hurricane Wilma, landfallRegion, Quintana Roo, Mexico]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quintana Roo, Mexico
Context triple: [Hurricane Wilma, landfallRegion, Quintana Roo, Mexico]
  • A. Quintana Roo chosen
    Quintana Roo is a Mexican state on the Caribbean coast known for major tourist destinations such as Cancún, Playa del Carmen, and Tulum.
  • B. Yucatán state
    Yucatán state is a region in southeastern Mexico known for its rich Mayan heritage, cenotes, colonial cities, and diverse natural reserves along the Gulf of Mexico.
  • C. Bahia_Banderas
    Bahia Banderas is a coastal municipality in the Mexican state of Nayarit, known for its popular beach resorts and location along the Bay of Banderas on the Pacific Ocean.
  • D. Campeche
    Campeche is a historic coastal city in southeastern Mexico known for its well-preserved colonial fortifications and colorful architecture on the Gulf of Mexico.
  • E. Cozumel
    Cozumel is a Mexican Caribbean island renowned for its crystal-clear waters, coral reefs, and world-class scuba diving and snorkeling.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cf1cbc819092d92625dfb107d0 completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.