Triple

T10568189
Position Surface form Disambiguated ID Type / Status
Subject Mathare River E249405 entity
Predicate flowsThrough P225 FINISHED
Object Dandora E205101 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: Dandora | Statement: [Mathare River, flowsThrough, Dandora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandora
Context triple: [Mathare River, flowsThrough, Dandora]
  • A. Dandora chosen
    Dandora is a residential and industrial area in Nairobi, Kenya, best known for hosting one of Africa’s largest open-air garbage dumps.
  • B. Gbagyi
    Gbagyi is a Central Nigerian ethnic group known for its distinct language, rich cultural traditions, and widespread presence across parts of Niger, Kaduna, and the Federal Capital Territory.
  • C. Ikorodu
    Ikorodu is a rapidly growing suburban city and local government area in the northeastern part of Lagos State, Nigeria, known for its residential communities and emerging commercial activity.
  • D. Calabar
    Calabar is a historic port city in southeastern Nigeria known for its role in the transatlantic slave trade and its vibrant cultural festivals.
  • E. Buduburam
    Buduburam is a town in Ghana best known for hosting a large refugee settlement, particularly for Liberian refugees, and has grown into a diverse suburban community.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5272ff53c8190ae7c399d49b585f5 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b4c26ec8190910efdf4a236d654 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:37 p.m.