Triple

T14201172
Position Surface form Disambiguated ID Type / Status
Subject Brazilian Atlantic coast E351966 entity
Predicate hasMajorPort P942 FINISHED
Object Port of Paranaguá E751976 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 Paranaguá | Statement: [Brazilian Atlantic coast, hasMajorPort, Port of Paranaguá]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Paranaguá
Context triple: [Brazilian Atlantic coast, hasMajorPort, Port of Paranaguá]
  • A. Port of Paranaguá chosen
    The Port of Paranaguá is one of Brazil’s largest and busiest seaports, serving as a major hub for agricultural exports and international trade in the southern region of the country.
  • B. Port of Itajaí
    The Port of Itajaí is one of Brazil’s main maritime hubs, especially important for container shipping and regional trade in the southern state of Santa Catarina.
  • C. Port of Santos
    The Port of Santos is Brazil’s largest and busiest seaport, serving as a key hub for international trade and cargo movement in South America.
  • D. Port of Mar del Plata
    The Port of Mar del Plata is a major Argentine Atlantic seaport and fishing harbor serving the city of Mar del Plata in Buenos Aires Province.
  • E. Port of Rosario
    The Port of Rosario is a key inland river port in Argentina that serves as a major hub for agricultural exports and regional trade along the Paraná River.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f589a08190b71ad4e69d92ffd0 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280c948c8190948e55f1e1874f69 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.