Triple

T9509898
Position Surface form Disambiguated ID Type / Status
Subject Sir Theophilus Shepstone E229364 entity
Predicate areaOfInfluence P9 FINISHED
Object Natal E15763 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: Natal | Statement: [Sir Theophilus Shepstone, areaOfInfluence, Natal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Natal
Context triple: [Sir Theophilus Shepstone, areaOfInfluence, Natal]
  • A. Natal chosen
    Natal is a historical region in southeastern South Africa, centered on the port city of Durban and known for its colonial history and diverse cultural heritage.
  • B. Natal
    Natal is a coastal city in northeastern Brazil known for its beaches, sand dunes, and role as a regional tourism and economic hub.
  • C. Neive
    Neive is a picturesque medieval village in Italy’s Piedmont wine region, renowned for its historic charm and production of Barbaresco and other Langhe wines.
  • D. Nannini
    Nannini is an Italian surname most prominently associated with rock singer-songwriter Gianna Nannini and her family.
  • E. Nicia
    Nicia is a foolish and gullible Florentine lawyer who serves as one of the central comic figures in Niccolò Machiavelli’s play "The Mandrake."
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9857058881909e0a40e2024a7b4c completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d14c1092bc8190917d71e2b6f62c25 completed April 4, 2026, 5:36 p.m.
Created at: March 30, 2026, 7:58 p.m.