Triple

T6105613
Position Surface form Disambiguated ID Type / Status
Subject Mangaung Metropolitan Municipality E136109 entity
Predicate contains P35 FINISHED
Object Van Stadensrus
Van Stadensrus is a small rural town in South Africa’s Free State province, situated within the Mangaung Metropolitan Municipality.
 E568498 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: Van Stadensrus | Statement: [Mangaung Metropolitan Municipality, contains, Van Stadensrus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Van Stadensrus
Context triple: [Mangaung Metropolitan Municipality, contains, Van Stadensrus]
  • A. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Blokzijl
    Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
  • D. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • E. Shoddesden
    Shoddesden is a small rural hamlet in Hampshire, England, situated within the civil parish of Kimpton.
  • 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: Van Stadensrus
Triple: [Mangaung Metropolitan Municipality, contains, Van Stadensrus]
Generated description
Van Stadensrus is a small rural town in South Africa’s Free State province, situated within the Mangaung Metropolitan Municipality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Van Stadensrus
Target entity description: Van Stadensrus is a small rural town in South Africa’s Free State province, situated within the Mangaung Metropolitan Municipality.
  • A. Rozenburg
    Rozenburg is a village in the municipality of Haarlemmermeer in the province of North Holland, Netherlands.
  • B. Rozenburg
    Rozenburg is a town in the western Netherlands that forms part of the heavily industrialized and port-dominated region of South Holland.
  • C. Blokzijl
    Blokzijl is a historic former trading town and harbor in the Dutch province of Overijssel, known for its picturesque canals and well-preserved old center.
  • D. Scherpenzeel
    Scherpenzeel is a small Dutch municipality in the province of Gelderland, known for its rural character and historic village center.
  • E. Shoddesden
    Shoddesden is a small rural hamlet in Hampshire, England, situated within the civil parish of Kimpton.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b7ee8b48190b87f5ec8a46d6e2d completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255759f48190a6aadf33406dcb49 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c1275910108190a0a5f458a468c292 completed March 23, 2026, 11:43 a.m.
NED2 Entity disambiguation (via description) batch_69c127b831d081909436a62e002d1fa5 completed March 23, 2026, 11:44 a.m.
Created at: March 22, 2026, 4:13 p.m.