Triple

T11258774
Position Surface form Disambiguated ID Type / Status
Subject Dr Ruth Segomotsi Mompati District E266507 entity
Predicate districtCode P43726 FINISHED
Object DC39
DC39 is the official administrative district code assigned to the Dr Ruth Segomotsi Mompati District in South Africa’s North West Province.
 E914702 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: DC39 | Statement: [Dr Ruth Segomotsi Mompati District, districtCode, DC39]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DC39
Context triple: [Dr Ruth Segomotsi Mompati District, districtCode, DC39]
  • A. DC35
    DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
  • B. DC34
    DC34 is the official municipal code assigned to the Vhembe District Municipality in South Africa.
  • C. DC3
    DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
  • D. DC25
    DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
  • E. DC42
    DC42 is the official municipal code assigned to the Sedibeng District Municipality in South Africa’s local government system.
  • 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: DC39
Triple: [Dr Ruth Segomotsi Mompati District, districtCode, DC39]
Generated description
DC39 is the official administrative district code assigned to the Dr Ruth Segomotsi Mompati District in South Africa’s North West Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DC39
Target entity description: DC39 is the official administrative district code assigned to the Dr Ruth Segomotsi Mompati District in South Africa’s North West Province.
  • A. DC35
    DC35 is the official municipal code designating the Capricorn District Municipality in South Africa’s Limpopo province.
  • B. DC34
    DC34 is the official municipal code assigned to the Vhembe District Municipality in South Africa.
  • C. DC3
    DC3 is a public community college in Dodge City, Kansas, offering two-year academic and technical programs.
  • D. DC25
    DC25 is the official municipal code assigned to the Amajuba District Municipality in South Africa’s KwaZulu-Natal province.
  • E. DC42
    DC42 is the official municipal code assigned to the Sedibeng District Municipality in South Africa’s local government system.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e936cb048190b4d6fb2851ef8932 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ccada158819080e49833e09f84a0 completed April 19, 2026, 12:38 p.m.
NEDg Description generation batch_69e4d9ec9964819084bd7118e49c41a2 completed April 19, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69e4ddab4ef48190ab7f371da765c6c0 completed April 19, 2026, 1:50 p.m.
Created at: April 8, 2026, 9:31 p.m.