Triple

T10299834
Position Surface form Disambiguated ID Type / Status
Subject Amajuba District Municipality E241597 entity
Predicate hasMunicipalCode P3943 FINISHED
Object DC25
DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
E856360 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: DC25 | Statement: [Amajuba District Municipality, hasMunicipalCode, DC25]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DC25
Context triple: [Amajuba District Municipality, hasMunicipalCode, DC25]
  • A. DC21
    DC21 is the official district code designating the Ugu District Municipality in South Africa’s KwaZulu-Natal province.
  • B. DC3
    DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
  • C. DCU
    DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
  • D. DCU
    DCU is the common abbreviation for D.C. United, a professional Major League Soccer club based in Washington, D.C.
  • E. DC35
    DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
  • 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: DC25
Triple: [Amajuba District Municipality, hasMunicipalCode, DC25]
Generated description
DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: DC25
Target entity description: DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
  • A. DC21
    DC21 is the official district code designating the Ugu District Municipality in South Africa’s KwaZulu-Natal province.
  • B. DC3
    DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
  • C. DCU
    DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
  • D. DCU
    DCU is the common abbreviation for D.C. United, a professional Major League Soccer club based in Washington, D.C.
  • E. DC35
    DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d3f2c2c8190a71e4a896d8753e7 completed April 9, 2026, 3:30 a.m.
NEDg Description generation batch_69d7318402f08190b655bdddbd97ecb9 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d734473ef48190852dbe48742a4273 completed April 9, 2026, 5:08 a.m.
Created at: April 6, 2026, 11:44 a.m.