Triple

T1373788
Position Surface form Disambiguated ID Type / Status
Subject Orange Free State E30172 entity
Predicate borderedBy P224 FINISHED
Object Basutoland E15906 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: Basutoland | Statement: [Orange Free State, borderedBy, Basutoland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basutoland
Context triple: [Orange Free State, borderedBy, Basutoland]
  • A. Lesotho chosen
    Lesotho is a small, landlocked constitutional monarchy in Southern Africa, entirely surrounded by South Africa and known for its mountainous terrain and high-altitude settlements.
  • B. Eswatini
    Eswatini is a small landlocked monarchy in Southern Africa known for its blend of traditional Swazi culture and modern institutions.
  • C. Bechuanaland Protectorate
    The Bechuanaland Protectorate was a British colonial territory in Southern Africa that existed from the late 19th century until it gained independence as the Republic of Botswana in 1966.
  • D. Kwaluseni
    Kwaluseni is a town in Eswatini known primarily as the main campus site of the University of Eswatini.
  • E. Botswana
    Botswana is a landlocked country in Southern Africa known for its stable democracy, significant diamond resources, and vast wildlife-rich landscapes including the Okavango Delta.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2f660888190bc9240e0dc4f0aa3 completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69afc00ddbf48190866fb79b4b4a2857 completed March 10, 2026, 6:54 a.m.
Created at: March 1, 2026, 7:57 p.m.