Triple

T10504978
Position Surface form Disambiguated ID Type / Status
Subject Morgan Tsvangirai E247762 entity
Predicate placeOfBirth P1 FINISHED
Object Gutu E411878 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: Gutu | Statement: [Morgan Tsvangirai, placeOfBirth, Gutu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutu
Context triple: [Morgan Tsvangirai, placeOfBirth, Gutu]
  • A. Gutu chosen
    Gutu is a town and district in southeastern Zimbabwe known for its rural communities and agricultural activities within Masvingo Province.
  • B. Vangunu
    Vangunu is an Oceanic language of the Meso-Melanesian group spoken on Vangunu Island in the Solomon Islands.
  • C. Ronga
    Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
  • D. Tayauh
    Tayauh was a participant in the Tepanec War, a conflict among pre-Columbian Nahua city-states in central Mexico.
  • E. Tongaat
    Tongaat is a town in KwaZulu-Natal, South Africa, known for its significant Indian community and sugar industry.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5099f4dec8190a9851739c8bc9a69 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90ddbbb3c8190873e8e3c27039b16 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:26 p.m.