Triple

T15871679
Position Surface form Disambiguated ID Type / Status
Subject Mokhotlong District E384843 entity
Predicate contains P35 FINISHED
Object Mokhotlong town E1181310 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: Mokhotlong town | Statement: [Mokhotlong District, contains, Mokhotlong town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mokhotlong town
Context triple: [Mokhotlong District, contains, Mokhotlong town]
  • A. Mokhotlong chosen
    Mokhotlong is a town in northeastern Lesotho known as a remote highland center and gateway to the mountainous regions of the country.
  • B. Mokopane
    Mokopane is a town in South Africa’s Limpopo province known for its mining industry, agricultural activities, and proximity to significant archaeological and natural heritage sites.
  • C. Mogale City
    Mogale City is a local municipality in Gauteng, South Africa, that includes the town of Krugersdorp and surrounding areas on the West Rand.
  • D. Mogoditshane
    Mogoditshane is a rapidly growing suburban township located just outside Botswana’s capital, Gaborone.
  • E. Mokhotlong District
    Mokhotlong District is a mountainous administrative region in northeastern Lesotho that encompasses the area around Thabana Ntlenyana, the highest peak in Southern Africa.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155fa1aac81908e4b86abedf295ca completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb041adac8190a8e6e5c646fdedf3 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:50 a.m.