Triple

T406329
Position Surface form Disambiguated ID Type / Status
Subject Nelson Mandela E9390 entity
Predicate residence P75 FINISHED
Object Qunu E51751 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: Qunu | Statement: [Nelson Mandela, residence, Qunu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qunu
Context triple: [Nelson Mandela, residence, Qunu]
  • A. Qunu chosen
    Qunu is a rural village in South Africa’s Eastern Cape province, best known as Nelson Mandela’s childhood home and final resting place.
  • B. Taba
    Taba is a small Egyptian resort town on the Red Sea near the border with Israel, known for its beaches, coral reefs, and role as a popular gateway between the two countries.
  • C. Manouria
    Manouria is a genus of large, primarily Asian tortoises known for including some of the most primitive living tortoise species.
  • D. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • E. Minya
    Minya is a major city in Upper Egypt on the Nile River, serving as an important regional administrative and commercial center.
  • 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_69a2e8004cb88190b92ed1add6abf41a completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecbc00508190bbb602179273f29c completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b47e87c8190bb9e62dcee7a59c6 completed March 1, 2026, 10:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.