Triple

T301733
Position Surface form Disambiguated ID Type / Status
Subject Benghazi E6209 entity
Predicate hasPortInfrastructure P2560 FINISHED
Object cargo terminals LITERAL 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: cargo terminals | Statement: [Benghazi, hasPortInfrastructure, cargo terminals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPortInfrastructure
Context triple: [Benghazi, hasPortInfrastructure, cargo terminals]
  • A. hasInfrastructureType chosen
    Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
  • B. hasPortico
    Indicates that one entity (typically a building or structure) features a portico as part of its architectural design.
  • C. usesInfrastructure
    Indicates that one entity makes use of, depends on, or operates through the infrastructure provided or managed by another entity.
  • D. hasMajorPort
    Indicates that a location possesses a primary, significant seaport used for major commercial or transportation activities.
  • E. hasPortCity
    Indicates that a place or region possesses or is associated with a city that functions as its port.
  • F. None of above.

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_69a2e79230508190b912ecb555aae17e completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ea2fba548190a5aeb1597dca96bd completed Feb. 28, 2026, 1:14 p.m.
PD Predicate disambiguation batch_69a2e93c367881908d3f6e2b81d44d7f completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:06 p.m.