Triple

T23238278
Position Surface form Disambiguated ID Type / Status
Subject Zulia E581362 entity
Predicate hasPort P35 FINISHED
Object Port of Maracaibo NE NERFINISHED

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 Maracaibo | Statement: [Zulia, hasPort, Port of Maracaibo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Maracaibo
Context triple: [Zulia, hasPort, Port of Maracaibo]
  • A. Port of Maracaibo chosen
    The Port of Maracaibo is a major Venezuelan seaport and commercial hub serving the city of Maracaibo and the surrounding oil-producing region.
  • B. Port of La Guaira
    The Port of La Guaira is one of Venezuela’s principal seaports and a major hub for commercial shipping and passenger traffic on the country’s central Caribbean coast.
  • C. Port of Puerto Cabello
    The Port of Puerto Cabello is one of Venezuela’s largest and busiest seaports, serving as a major hub for the country’s international maritime trade on the Caribbean.
  • D. Port of Santa Marta
    The Port of Santa Marta is a major Colombian Caribbean seaport known for handling container, coal, and general cargo traffic and serving as a key hub for regional trade and tourism.
  • E. Puerto Armuelles
    Puerto Armuelles is a coastal Panamanian town on the Pacific Ocean known historically for its banana industry and port activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2460556f88190be1744a84a84173f completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f192ebaef4819083a7805537ad993f completed April 29, 2026, 5:11 a.m.
Created at: April 17, 2026, 4:09 p.m.