Triple

T1931362
Position Surface form Disambiguated ID Type / Status
Subject Gulf of California E40951 entity
Predicate hasPort P35 FINISHED
Object Port of 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: Port of Mazatlán | Statement: [Gulf of California, hasPort, Port of Mazatlán]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Mazatlán
Context triple: [Gulf of California, hasPort, Port of Mazatlán]
  • A. Port of Guaymas
    The Port of Guaymas is a major deep-water seaport in Sonora, Mexico, serving as an important commercial and fishing hub on the Gulf of California.
  • B. Port of Veracruz
    The Port of Veracruz is one of Mexico’s oldest and most important seaports, serving as a key hub for international trade on the Gulf of Mexico.
  • C. Port of San Vicente
    The Port of San Vicente is a key Chilean seaport on the Pacific coast that serves as an important commercial and industrial hub for the Biobío Region.
  • D. Puerto La Victoria
    Puerto La Victoria is a riverside town in Paraguay situated along the Paraguay River, serving as a local hub for transport and river-based commerce.
  • E. 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.
  • 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_69adfbb2cc988190a4046c17c8389996 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:35 p.m.