Triple

T16313090
Position Surface form Disambiguated ID Type / Status
Subject Prodeco Group E396105 entity
Predicate exportPort P92402 FINISHED
Object Puerto Nuevo E727008 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 Nuevo | Statement: [Prodeco Group, exportPort, Puerto Nuevo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Nuevo
Context triple: [Prodeco Group, exportPort, Puerto Nuevo]
  • A. Puerto Nuevo
    Puerto Nuevo is a small lakeside settlement in southern Chile situated on the shores of Ranco Lake.
  • B. 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.
  • C. Puerto San Carlos
    Puerto San Carlos is a small coastal fishing town and port on the Pacific side of Baja California Sur, Mexico, known as a gateway to Magdalena Bay and its gray whale watching.
  • D. Puerto Asís chosen
    Puerto Asís is a major town and river port in southern Colombia, known as one of the principal commercial and transportation hubs of the Putumayo region near the border with Ecuador.
  • E. Puerto Cortés
    Puerto Cortés is a major Honduran Caribbean port city known as one of Central America’s busiest and most important maritime hubs.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288dc30f48190b508220429b66e92 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa6ceb48190b937a15b94fd3cfa completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.