Triple

T3741880
Position Surface form Disambiguated ID Type / Status
Subject Pacific coast of South America E79719 entity
Predicate hasMajorPort P942 FINISHED
Object Talara E305434 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: Talara | Statement: [Pacific coast of South America, hasMajorPort, Talara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talara
Context triple: [Pacific coast of South America, hasMajorPort, Talara]
  • A. Pucallpa
    Pucallpa is a major city in eastern Peru, located in the Amazon rainforest along the Ucayali River and serving as an important regional commercial and transportation hub.
  • B. Machala
    Machala is a coastal city in southwestern Ecuador known as a major banana-exporting port and the capital of El Oro Province.
  • C. Chimbote
    Chimbote is a coastal city in north-central Peru known for its fishing industry and port on the Pacific Ocean.
  • D. San Pedro de Pichasca
    San Pedro de Pichasca is a small rural settlement in northern Chile, known for its proximity to the Hurtado River and the surrounding Andean foothill landscapes.
  • E. Tumbes chosen
    Tumbes is a coastal city in northwestern Peru near the border with Ecuador, known for its mangrove forests and tropical climate.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb549490819084ebe69aae5ccf95 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db26adbc8190becd03db70e63112 completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.