Triple

T22117192
Position Surface form Disambiguated ID Type / Status
Subject Island of Mozambique E546572 entity
Predicate nearbyCity P350 FINISHED
Object Nampula 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: Nampula | Statement: [Island of Mozambique, nearbyCity, Nampula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nampula
Context triple: [Island of Mozambique, nearbyCity, Nampula]
  • A. Nampula chosen
    Nampula is a major city in northern Mozambique that serves as an important commercial and transportation hub for the region.
  • B. Nampula Province
    Nampula Province is a populous and economically significant region in northern Mozambique, known for its Makhuwa-speaking communities and important agricultural and trade activities.
  • C. Atambua
    Atambua is a town in East Nusa Tenggara, Indonesia, located near the border with Timor-Leste and serving as an important regional trade and transit center.
  • D. Huambo
    Huambo is a major city in central Angola that served as a strategic stronghold and frequent battleground during the Angolan Civil War.
  • E. Tete
    Tete is a city in western Mozambique on the Zambezi River, known as a regional trade center and the capital of Tete Province.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1294e85708190b455846bacbdfd03 completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.