Triple

T1411196
Position Surface form Disambiguated ID Type / Status
Subject Soweto E31807 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Zola
Zola is a township neighborhood in Soweto, South Africa, known for its vibrant street culture and significant role in the country’s urban history.
 E163638 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: Zola | Statement: [Soweto, hasNeighbourhood, Zola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zola
Context triple: [Soweto, hasNeighbourhood, Zola]
  • A. Zola
    Zola is a French surname most famously borne by Émile Zola, the influential 19th-century novelist and leading figure of literary naturalism.
  • B. Alexandrine Zola
    Alexandrine Zola was the wife of French novelist Émile Zola, known for her long and complex marriage to the prominent naturalist writer and her role in managing his household and legacy.
  • C. Émile
    Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • D. Moreau
    Moreau is a town in Saratoga County, New York, known for its residential communities and proximity to natural and recreational areas such as Moreau Lake State Park.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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: Zola
Triple: [Soweto, hasNeighbourhood, Zola]
Generated description
Zola is a township neighborhood in Soweto, South Africa, known for its vibrant street culture and significant role in the country’s urban history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zola
Target entity description: Zola is a township neighborhood in Soweto, South Africa, known for its vibrant street culture and significant role in the country’s urban history.
  • A. Zola
    Zola is a French surname most famously borne by Émile Zola, the influential 19th-century novelist and leading figure of literary naturalism.
  • B. Alexandrine Zola
    Alexandrine Zola was the wife of French novelist Émile Zola, known for her long and complex marriage to the prominent naturalist writer and her role in managing his household and legacy.
  • C. Émile
    Émile is a French given name most famously borne by the influential 19th-century novelist and social critic Émile Zola.
  • D. Moreau
    Moreau is a town in Saratoga County, New York, known for its residential communities and proximity to natural and recreational areas such as Moreau Lake State Park.
  • E. Eugène
    Eugène is a masculine given name of French origin, derived from the Greek "Eugenios," meaning "well-born" or "noble."
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e1da988190bc7c187e193539b6 completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad015a52a88190933e7337067e5364 completed March 8, 2026, 4:55 a.m.
NEDg Description generation batch_69ad01eb335c81908775e89b8a0348cc completed March 8, 2026, 4:58 a.m.
NED2 Entity disambiguation (via description) batch_69ad029584308190af10520e928f890b completed March 8, 2026, 5:01 a.m.
Created at: March 1, 2026, 7:59 p.m.