Triple

T3327700
Position Surface form Disambiguated ID Type / Status
Subject Sakubva E69955 entity
Predicate roadAccessTo P22549 FINISHED
Object Mutare central business district E10728 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: Mutare central business district | Statement: [Sakubva, roadAccessTo, Mutare central business district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutare central business district
Context triple: [Sakubva, roadAccessTo, Mutare central business district]
  • A. Mutare chosen
    Mutare is a major city in eastern Zimbabwe, serving as the capital of Manicaland Province and an important commercial and transport hub near the border with Mozambique.
  • B. Mutare City Hall
    Mutare City Hall is the main municipal administrative building and civic center for the city of Mutare in Zimbabwe.
  • C. Mutare City Council
    Mutare City Council is the local municipal authority responsible for administering and providing public services in the city of Mutare, Zimbabwe.
  • D. Masvingo
    Masvingo is one of Zimbabwe’s oldest urban centers, located in the country’s southeastern region near the Great Zimbabwe ruins.
  • E. Marondera
    Marondera is a town in eastern Zimbabwe known as an agricultural and educational center within the Mashonaland region.
  • 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_69ad85a1829881908942c14075644d0d completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb16f61248190bab10f4ac9e066f7 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533595bb88190814ea2ebe3495525 completed March 14, 2026, 10:07 a.m.
Created at: March 8, 2026, 3:12 p.m.