Triple

T1931272
Position Surface form Disambiguated ID Type / Status
Subject Gulf of California E40951 entity
Predicate hasCityOnCoast P969 FINISHED
Object Mazatlán E107504 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: Mazatlán | Statement: [Gulf of California, hasCityOnCoast, Mazatlán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mazatlán
Context triple: [Gulf of California, hasCityOnCoast, Mazatlán]
  • A. Manzanillo
    Manzanillo is a major Pacific coastal city in western Mexico known for its busy commercial port and popular beach tourism.
  • B. Mazatlán, Mexico chosen
    Mazatlán, Mexico is a Pacific coastal city in the state of Sinaloa known for its long sandy beaches, historic old town, and major seaport and tourism industry.
  • 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. Culiacán
    Culiacán is the largest city and main economic and cultural center of the Mexican state of Sinaloa.
  • E. 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.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb296910481908c9668518c09fdb0 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0313474481908df719974c3ebe20 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:35 p.m.