Triple

T23460474
Position Surface form Disambiguated ID Type / Status
Subject Manica Province E568958 entity
Predicate hasBorderingProvince P224 FINISHED
Object Tete Province 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: Tete Province | Statement: [Manica Province, hasBorderingProvince, Tete Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tete Province
Context triple: [Manica Province, hasBorderingProvince, Tete Province]
  • A. Tete Province chosen
    Tete Province is a region in northwestern Mozambique known for its significant hydroelectric resources, including the Cahora Bassa Dam on the Zambezi River.
  • B. Tete
    Tete is a city in western Mozambique on the Zambezi River, known as a regional trade center and the capital of Tete Province.
  • C. Tete
    Tete is a commonly used nickname for the Spanish football club CD Tenerife, referring to the team in a familiar and affectionate way.
  • D. Inhambane Province
    Inhambane Province is a coastal region in southern Mozambique known for its historic towns, coconut palms, and popular beach and diving destinations along the Indian Ocean.
  • E. Sofala Province
    Sofala Province is a coastal region of central Mozambique that includes the important port city of Beira and is known for its role as a transport and economic hub.
  • 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_69e2458ebd808190b3298163132cfb0b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a69afba88190b1b1dd27d331309f completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.