Triple

T22047237
Position Surface form Disambiguated ID Type / Status
Subject Umlazi E544792 entity
Predicate hasSection P35 FINISHED
Object Umlazi D
Umlazi D is a residential sub-area within the larger township of Umlazi in KwaZulu-Natal, South Africa.
E544792 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: Umlazi D | Statement: [Umlazi, hasSection, Umlazi D]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umlazi D
Context triple: [Umlazi, hasSection, Umlazi D]
  • A. Umlazi
    Umlazi is a large township in the Durban area of South Africa, known as one of the country’s biggest urban settlements and a significant cultural and economic hub in KwaZulu-Natal.
  • B. Dz
    Dz is the official station code used to identify Delfzijl railway station in the Netherlands.
  • C. Dz.U.
    Dz.U. is the standard Polish abbreviation for the Journal of Laws of the Republic of Poland, the official publication for promulgating national legislation and legal acts.
  • D. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • E. Ukunda
    Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
  • 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: Umlazi D
Triple: [Umlazi, hasSection, Umlazi D]
Generated description
Umlazi D is a residential sub-area within the larger township of Umlazi in KwaZulu-Natal, South Africa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Umlazi D
Target entity description: Umlazi D is a residential sub-area within the larger township of Umlazi in KwaZulu-Natal, South Africa.
  • A. Umlazi chosen
    Umlazi is a large township in the Durban area of South Africa, known as one of the country’s biggest urban settlements and a significant cultural and economic hub in KwaZulu-Natal.
  • B. Dz
    Dz is the official station code used to identify Delfzijl railway station in the Netherlands.
  • C. Dz.U.
    Dz.U. is the standard Polish abbreviation for the Journal of Laws of the Republic of Poland, the official publication for promulgating national legislation and legal acts.
  • D. DZ
    DZ is the ISO 3166-1 alpha-2 country code for Algeria, a large North African nation on the Mediterranean coast.
  • E. Ukunda
    Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
  • F. None of above.

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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12830c674819080254d77ee02bc9f completed April 28, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a7b7736708190bad46e7f44aeb18c completed May 18, 2026, 2:37 a.m.
NEDg Description generation batch_6a0a7c4736808190bd04e03adcb2d97b completed May 18, 2026, 2:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a7d80f9c08190b18e04b9e9cf47a5 completed May 18, 2026, 2:46 a.m.
Created at: April 16, 2026, 8:26 p.m.