Triple

T11261180
Position Surface form Disambiguated ID Type / Status
Subject Matsapha E266562 entity
Predicate near P350 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: [Matsapha, near, Manzini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Manzini
Context triple: [Matsapha, near, 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. Sesheke
    Sesheke is a significant town in western Zambia’s Barotseland region, located near the Zambezi River and the border with Namibia.
  • D. Lobamba
    Lobamba is the traditional and legislative capital of Eswatini, serving as the seat of the Swazi monarchy and key national institutions.
  • E. Masindi
    Masindi is a town in western Uganda that serves as a key gateway and service center for visitors to Murchison Falls 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e94c066c8190be1e032eb328e5fe completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccba233481909f00ebe2237c4f0c completed April 19, 2026, 12:38 p.m.
Created at: April 8, 2026, 9:31 p.m.