Triple

T20568182
Position Surface form Disambiguated ID Type / Status
Subject Terminal 2 (Cancún International Airport) E505017 entity
Predicate servesCity P82 FINISHED
Object Cancún 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: Cancún | Statement: [Terminal 2 (Cancún International Airport), servesCity, Cancún]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cancún
Context triple: [Terminal 2 (Cancún International Airport), servesCity, Cancún]
  • A. Cancún chosen
    Cancún is a major Mexican resort city on the Caribbean coast, renowned for its beaches, tourism industry, and role as a host for international conferences and summits.
  • B. Cancuén
    Cancuén is a major ancient Maya archaeological site in Guatemala known for its large palace complex and role as a key trade center.
  • C. Acapulco
    Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
  • D. Puerto Vallarta
    Puerto Vallarta is a popular Pacific coast resort city in the Mexican state of Jalisco, known for its beaches, nightlife, and vibrant arts and cultural scene.
  • E. Puerto Aventuras
    Puerto Aventuras is a coastal resort community in Mexico’s Riviera Maya known for its marinas, beaches, and vacation accommodations.
  • 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_69e0b4b6587c8190aee63dc7cff244ea completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a7a3fdc08190a34dcf4c4e51f078 completed April 20, 2026, 10:24 p.m.
Created at: April 16, 2026, 11:39 a.m.