Triple

T22424417
Position Surface form Disambiguated ID Type / Status
Subject Couva E554331 entity
Predicate hasNearbyPort P942 FINISHED
Object Port of Point Lisas 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 Point Lisas | Statement: [Couva, hasNearbyPort, Port of Point Lisas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Point Lisas
Context triple: [Couva, hasNearbyPort, Port of Point Lisas]
  • A. Port of Point Lisas chosen
    The Port of Point Lisas is a major industrial and cargo port in Trinidad and Tobago, serving the country’s petrochemical and heavy manufacturing sectors.
  • B. Port Antonio Harbour
    Port Antonio Harbour is a natural deep-water harbor on Jamaica’s northeastern coast, historically important for banana and coconut exports and now a scenic hub for tourism and boating.
  • C. Port of Paramaribo
    The Port of Paramaribo is Suriname’s principal seaport and a key hub for the country’s international trade and maritime transport.
  • D. Port of Belize
    The Port of Belize is the main seaport and cargo-handling facility of Belize, serving as the country’s primary hub for maritime trade and shipping.
  • E. Port of San-Pédro
    The Port of San-Pédro is a major seaport in southwestern Côte d'Ivoire that serves as a key hub for the export of commodities such as cocoa and timber.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2c47bc81908b8265d83fa6fb65 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.