Triple

T16356060
Position Surface form Disambiguated ID Type / Status
Subject Makhosetive Dlamini E397181 entity
Predicate placeOfBirth P1 FINISHED
Object Manzini E397182 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: Manzini | Statement: [Makhosetive Dlamini, placeOfBirth, Manzini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzini
Context triple: [Makhosetive Dlamini, placeOfBirth, Manzini]
  • A. Manzini chosen
    Manzini is a major city in Eswatini that serves as an important commercial and transport hub of the country.
  • B. Mbabane
    Mbabane is the largest city and administrative center of Eswatini, located in the country's western highlands.
  • C. Cofimvaba
    Cofimvaba is a small rural town in South Africa’s Eastern Cape province, known as a local service and administrative center for the surrounding villages.
  • D. Sesheke
    Sesheke is a significant town in western Zambia’s Barotseland region, located near the Zambezi River and the border with Namibia.
  • E. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facf67e0819089a23ce6f5642fbe completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f3f93348190b835218ae42f3463 completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:07 a.m.