Triple

T19156803
Position Surface form Disambiguated ID Type / Status
Subject Mangina Ebola Treatment Center E468946 entity
Predicate locatedIn P40 FINISHED
Object Mangina NE NERFINISHED

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: Mangina | Statement: [Mangina Ebola Treatment Center, locatedIn, Mangina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangina
Context triple: [Mangina Ebola Treatment Center, locatedIn, Mangina]
  • A. Mangina chosen
    Mangina is a town in North Kivu Province in the eastern Democratic Republic of the Congo that gained international attention as a focal point of the 2018–2020 Kivu Ebola epidemic.
  • B. Mazilu
    Mazilu is a Romanian surname borne by various notable figures in fields such as politics, law, and the arts.
  • C. Manono
    Manono is a small inhabited island in Samoa, situated in the strait between the larger islands of Upolu and Savai'i.
  • D. Mangaya
    Mangaya is an exonym referring to the Mandaya, an indigenous ethnic group of Mindanao in the southern Philippines known for their rich weaving traditions and upland farming.
  • E. Mangin
    Mangin is a French surname borne by various notable figures, including military leaders, politicians, and artists.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb9cf9081908b17073755e83554 completed April 20, 2026, 9:15 a.m.
Created at: April 10, 2026, 12:06 p.m.