Triple

T2044107
Position Surface form Disambiguated ID Type / Status
Subject Sierra de la Laguna E45410 entity
Predicate near P350 FINISHED
Object Cabo San Lucas E218111 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: Cabo San Lucas | Statement: [Sierra de la Laguna, near, Cabo San Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cabo San Lucas
Context triple: [Sierra de la Laguna, near, Cabo San Lucas]
  • A. Cabo San Lucas chosen
    Cabo San Lucas is a popular resort city at the southern tip of Mexico’s Baja California Peninsula, known for its beaches, marine life, and distinctive rock formations such as El Arco.
  • B. 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.
  • C. Punta de Mita
    Punta de Mita is a luxury beach resort area on Mexico’s Pacific coast known for its upscale hotels, surfing, and proximity to the Bay of Banderas and the Marietas Islands.
  • D. Acapulco
    Acapulco is a historic Mexican Pacific coastal city that flourished as a major colonial-era seaport and remains a prominent tourist destination.
  • E. Cancún
    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.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb97153b08190b91d82f4117982be completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1ffe98248190b6a4428c6c094d35 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:39 p.m.