Triple

T84815
Position Surface form Disambiguated ID Type / Status
Subject Afrikaners E1706 entity
Predicate historicalRegion P915 FINISHED
Object Natal
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.
 E15763 NE FINISHED

How this triple was built (4 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: [Afrikaners, historicalRegion, Natal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natal
Context triple: [Afrikaners, historicalRegion, Natal]
  • A. Frances
    Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • C. Naha
    Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a major political, economic, and cultural center of the Ryukyu Islands.
  • D. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Natal
Triple: [Afrikaners, historicalRegion, Natal]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natal
Target entity description: 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.
  • A. Frances
    Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • B. Kutaisi
    Kutaisi is one of Georgia’s major cities, historically significant and formerly a capital, located in the western part of the country.
  • C. Naha
    Naha is the capital and largest city of Okinawa Prefecture in Japan, known as a major political, economic, and cultural center of the Ryukyu Islands.
  • D. Weston
    Weston is a suburban town in eastern Massachusetts known for its residential character, conservation land, and commuter access to Boston.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • F. None of above. chosen

Provenance (5 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_69a24c8150408190910a693eb51c1f71 completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f4e73c081908d2da146226ef05e completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b014ab2c8190bcef8382280932dc completed Feb. 28, 2026, 9:06 a.m.
NEDg Description generation batch_69a2b0bd233c81908f3595abdfa51666 completed Feb. 28, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_69a2b122a168819088be9e5455a1aac1 completed Feb. 28, 2026, 9:10 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.