Triple

T15459627
Position Surface form Disambiguated ID Type / Status
Subject Christianity (Mutare area) E371862 entity
Predicate locatedIn P40 FINISHED
Object Murambi E75877 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: Murambi | Statement: [Christianity (Mutare area), locatedIn, Murambi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murambi
Context triple: [Christianity (Mutare area), locatedIn, Murambi]
  • A. Murambi chosen
    Murambi is a residential suburb of Mutare, a major city in eastern Zimbabwe.
  • B. Mungava
    Mungava is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands in the South Pacific.
  • C. Mirambo
    Mirambo was a powerful 19th-century Nyamwezi warlord and trader in present-day Tanzania, known for building a strong kingdom and controlling key caravan trade routes.
  • D. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • E. Fomboni
    Fomboni is the largest town and administrative center of the island of Mohéli in the Comoros, known for its coastal setting and role as the island’s main port and commercial hub.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f1623f0819086f6fc2bfd536609 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21b9817c819082e5c571b08bafb5 completed May 9, 2026, 11:59 a.m.
Created at: April 10, 2026, 3:32 a.m.