Triple

T8651245
Position Surface form Disambiguated ID Type / Status
Subject Madaraka, Nairobi E205102 entity
Predicate servedByRoad P385 FINISHED
Object Mbagathi Way E749735 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: Mbagathi Way | Statement: [Madaraka, Nairobi, servedByRoad, Mbagathi Way]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mbagathi Way
Context triple: [Madaraka, Nairobi, servedByRoad, Mbagathi Way]
  • A. Mbagathi Way chosen
    Mbagathi Way is a major road in Nairobi, Kenya, that serves as a key traffic artery connecting several residential and commercial areas in the city.
  • B. Umbwe Route
    Umbwe Route is a steep, short, and less-traveled ascent path on Mount Kilimanjaro known for its direct approach and challenging terrain.
  • C. Bawiti
    Bawiti is the main town and administrative center of Egypt’s Bahariya Oasis, known for its proximity to archaeological sites and desert landscapes.
  • D. Mbagala
    "Mbagala" is a popular hit song by Tanzanian Bongo Flava artist Diamond Platnumz that helped establish his early fame in East Africa.
  • E. Namanga
    Namanga is a small border town between Kenya and Tanzania that serves as a key gateway for tourists traveling to Amboseli National Park.
  • 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.