Triple

T14870016
Position Surface form Disambiguated ID Type / Status
Subject Maputo Fortress E349717 entity
Predicate near P350 FINISHED
Object Maputo city center E70168 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: Maputo city center | Statement: [Maputo Fortress, near, Maputo city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maputo city center
Context triple: [Maputo Fortress, near, Maputo city center]
  • A. Maputo chosen
    Maputo is the largest city and main economic and cultural center of Mozambique, located on the country’s southern coast along the Indian Ocean.
  • B. Mmabatho
    Mmabatho is a town in South Africa that historically served as the capital of the former Bophuthatswana homeland and is now part of the city of Mahikeng in the North West province.
  • C. Greater Maputo area
    The Greater Maputo area is the main metropolitan region surrounding Mozambique’s capital, Maputo, encompassing the city and its suburban and peri-urban zones as the country’s primary political and economic hub.
  • D. Egoli
    Egoli is a common nickname for Johannesburg, South Africa’s major economic hub often referred to as the "City of Gold."
  • E. Manzini
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded57967748190a7c05ebb74aacb7c completed April 15, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9687a5888190a6e6ffd781f64edc completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:55 a.m.