Triple

T1474441
Position Surface form Disambiguated ID Type / Status
Subject Jalisco E30805 entity
Predicate containsPort P35 FINISHED
Object Puerto Vallarta E179014 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: Puerto Vallarta | Statement: [Jalisco, containsPort, Puerto Vallarta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Vallarta
Context triple: [Jalisco, containsPort, Puerto Vallarta]
  • A. Puerto Vallarta chosen
    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.
  • 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. 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.
  • D. 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.
  • E. Nuevo Vallarta
    Nuevo Vallarta is a major Pacific coast resort area in Mexico known for its beaches, marinas, and upscale hotels and condominiums.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c6011d248190988380eca4ecf514 completed March 1, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad608253cc81909e1985f6dc5e41a4 completed March 8, 2026, 11:41 a.m.
Created at: March 1, 2026, 8:11 p.m.