Triple

T8651187
Position Surface form Disambiguated ID Type / Status
Subject Dandora dumpsite E205101 entity
Predicate locatedIn P40 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: [Dandora dumpsite, locatedIn, Dandora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandora
Context triple: [Dandora dumpsite, locatedIn, 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_69ca834e56848190abb0eeaec9dedd32 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc48150e6c8190a7a3b92b4b640858 completed March 31, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef368f6f081908dcfa2f28e476b02 completed April 2, 2026, 10:53 p.m.
Created at: March 30, 2026, 6:29 p.m.