Triple

T3938184
Position Surface form Disambiguated ID Type / Status
Subject Choloma E90964 entity
Predicate near P350 FINISHED
Object Puerto Cortés E378787 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 Cortés | Statement: [Choloma, near, Puerto Cortés]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puerto Cortés
Context triple: [Choloma, near, Puerto Cortés]
  • A. Puerto Cortés chosen
    Puerto Cortés is a major Honduran Caribbean port city known as one of Central America’s busiest and most important maritime hubs.
  • 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 Leguízamo
    Puerto Leguízamo is a remote Colombian town and river port in the Amazon basin, known as a key gateway to the country’s southern rainforest frontier.
  • D. Port of Colón
    The Port of Colón is a major Caribbean seaport at the Atlantic entrance of the Panama Canal, serving as a key hub for international maritime trade and container transshipment.
  • E. Puerto Baquerizo Moreno
    Puerto Baquerizo Moreno is a coastal town on San Cristóbal Island that serves as one of the main administrative and tourist hubs of Ecuador’s Galápagos archipelago.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedcfd7d48190bbacee8b5b1b5070 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5338d9a7c8190ac5960eab5ae2ada completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:24 p.m.