Triple

T14417248
Position Surface form Disambiguated ID Type / Status
Subject Nacala Corridor E357484 entity
Predicate hasTerminusCity P1866 FINISHED
Object Nacala E357482 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: Nacala | Statement: [Nacala Corridor, hasTerminusCity, Nacala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nacala
Context triple: [Nacala Corridor, hasTerminusCity, Nacala]
  • A. Nacala chosen
    Nacala is a coastal city in northern Mozambique known for its deep-water natural harbor and role as a major regional port and transport hub.
  • B. Sinazongwe
    Sinazongwe is a lakeside town in southern Zambia situated on the shores of Lake Kariba, known primarily for fishing and agriculture.
  • C. Makoni
    Makoni is a town in Zimbabwe’s Manicaland Province, known primarily as a local administrative and commercial center for the surrounding rural district.
  • D. Chipinga
    Chipinga is the former name of Chipinge, a town in southeastern Zimbabwe known for its agriculture and proximity to the Mozambique border.
  • E. Umbopa
    Umbopa is a brave and enigmatic African warrior and royal heir who accompanies the protagonists on their perilous expedition in H. Rider Haggard's adventure novel "King Solomon's Mines."
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648784048190a9c7e95bfeec8b23 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:17 a.m.