Triple

T8541669
Position Surface form Disambiguated ID Type / Status
Subject Kasarani–Mwiki Road E202211 entity
Predicate connects P390 FINISHED
Object Kasarani E206293 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: Kasarani | Statement: [Kasarani–Mwiki Road, connects, Kasarani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kasarani
Context triple: [Kasarani–Mwiki Road, connects, Kasarani]
  • A. Kasarani chosen
    Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Chamkoria
    Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
  • D. Naharkatia
    Naharkatia is a prominent town in Assam, India, known historically for its tea gardens and oil fields.
  • E. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6e10bc081909a7210c577b807fb completed March 31, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea86036a881909cd1744cdb5b7a7f completed April 2, 2026, 5:33 p.m.
Created at: March 30, 2026, 6:18 p.m.