Triple

T14553990
Position Surface form Disambiguated ID Type / Status
Subject Tete Province E341490 entity
Predicate borderedBy P224 FINISHED
Object Manica Province E568958 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: Manica Province | Statement: [Tete Province, borderedBy, Manica Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manica Province
Context triple: [Tete Province, borderedBy, Manica Province]
  • A. Manica Province chosen
    Manica Province is a central-western region of Mozambique known for its mountainous terrain, agriculture, and proximity to the Zimbabwean border.
  • B. Malanje Province
    Malanje Province is a central Angolan province known for its Kimbundu-speaking population, agricultural importance, and natural attractions such as the Kalandula Falls.
  • C. Masvingo Province
    Masvingo Province is a region in southeastern Zimbabwe known for encompassing the historic Great Zimbabwe ruins and the city of Masvingo.
  • D. Zambezia Province
    Zambezia Province is a coastal region in central Mozambique known for its fertile river valleys, agricultural production, and diverse ethnic communities.
  • E. Loja Province
    Loja Province is a region in southern Ecuador known for its mountainous landscapes, cultural heritage, and the city of Loja, a historic center of music and the arts.
  • 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2f00cec8190a7b6482d18b9a216 completed April 14, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64e837dc8190b72d56d60ba386e8 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:23 a.m.