Triple

T2539079
Position Surface form Disambiguated ID Type / Status
Subject Malabo E56338 entity
Predicate hasPort P35 FINISHED
Object Port of Malabo E180842 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 Malabo | Statement: [Malabo, hasPort, Port of Malabo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Malabo
Context triple: [Malabo, hasPort, Port of Malabo]
  • A. Port of Malabo chosen
    The Port of Malabo is the principal seaport of Equatorial Guinea’s capital city, serving as a key hub for the country’s oil, gas, and general maritime trade in the Gulf of Guinea.
  • B. Port of Libreville
    The Port of Libreville is Gabon's principal seaport and a key hub for the export of timber, minerals, and other goods from the capital region to international markets.
  • C. Port of Muanda
    The Port of Muanda is a coastal seaport in the Democratic Republic of the Congo that serves as a key maritime outlet near the Atlantic terminus of the Congo River.
  • D. Port-Gentil
    Port-Gentil is Gabon's second-largest city and a major oil and port hub located on the country's Atlantic coast.
  • E. Port of Nacala
    The Port of Nacala is a deep-water seaport in northern Mozambique that serves as a major regional hub for maritime trade and transport in southeastern Africa.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd29b44448190ba4f82b0c1425f21 completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cfc54cc8190bb43b54f873ffa63 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.