Triple

T18073915
Position Surface form Disambiguated ID Type / Status
Subject Mengo E432504 entity
Predicate nearbyPlace P2064 FINISHED
Object Nakasero 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: Nakasero | Statement: [Mengo, nearbyPlace, Nakasero]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nakasero
Context triple: [Mengo, nearbyPlace, Nakasero]
  • A. Nakasero
    Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
  • B. Nakasero Hill chosen
    Nakasero Hill is an upscale, central neighborhood in Kampala known for hosting government offices, embassies, luxury hotels, and commercial centers.
  • C. Nguru
    Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
  • D. Mangarei
    Mangarei is a small settlement on the island of Mitiaro in the Cook Islands, known for its rural character and proximity to the island’s limestone caves and wetlands.
  • E. Loiyangalani
    Loiyangalani is a remote settlement on the southeastern shores of Lake Turkana in northern Kenya, known as a gateway to nearby desert landscapes and archaeological sites.
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.