Triple

T10162844
Position Surface form Disambiguated ID Type / Status
Subject Cancún–Tulum corridor E233931 entity
Predicate startPoint P389 FINISHED
Object Cancún E21538 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: Cancún | Statement: [Cancún–Tulum corridor, startPoint, Cancún]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cancún
Context triple: [Cancún–Tulum corridor, startPoint, 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. Acapulco
    Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
  • C. 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.
  • D. Puerto Aventuras
    Puerto Aventuras is a coastal resort community in Mexico’s Riviera Maya known for its marinas, beaches, and vacation accommodations.
  • E. Playa del Carmen, Mexico
    Playa del Carmen, Mexico is a popular Caribbean coastal resort city on the Riviera Maya known for its beaches, tourism, and role as a venue for major regional and international events.
  • 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_69ca848e80748190b91d1e04d35512c7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec5b5194819095645e9174897b0f completed April 2, 2026, 4:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31774617c8190848ad4990fe5801d completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:09 p.m.