Triple

T33844889
Position Surface form Disambiguated ID Type / Status
Subject Wedza E867451 entity
Predicate hasRuralServiceCenter P47978 FINISHED
Object Wedza township
Wedza township is a small rural service and administrative center in the Wedza District of eastern Zimbabwe.
 E2069836 NE FINISHED

How this triple was built (3 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: Wedza township | Statement: [Wedza, hasRuralServiceCenter, Wedza township]
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: Wedza township
Triple: [Wedza, hasRuralServiceCenter, Wedza township]
Generated description
Wedza township is a small rural service and administrative center in the Wedza District of eastern Zimbabwe.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasRuralServiceCenter
Context triple: [Wedza, hasRuralServiceCenter, Wedza township]
  • A. hasRuralServiceTown chosen
    Indicates that a rural area or region is associated with, and typically receives services from, a specific town that functions as its service center.
  • B. servesRuralArea
    Indicates that an entity provides services or support specifically to people or communities located in rural areas.
  • C. hasServiceCenter
    Indicates that an entity maintains or is associated with a service center that provides support, repair, or maintenance services.
  • D. isRuralCentreFor
    Indicates that one place functions as a primary service, administrative, or community hub for a surrounding rural area.
  • E. isRuralServiceTown
    Indicates that a town functions primarily as a service and support center for surrounding rural or agricultural areas.
  • F. None of above.

Provenance (6 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_69f349937b648190a34ada70f6a2b534 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f739a638748190808e7a2930dce16e completed May 3, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a366eb1b49881908d3c0c5904d30fd3 completed June 20, 2026, 10:42 a.m.
NEDg Description generation batch_6a366f86630c81908530464a68656b76 completed June 20, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_6a36710d8bf081909ea6d06eca8ebdda completed June 20, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f732f2dc6c8190a4e86da98cc5eb05 completed May 3, 2026, 11:35 a.m.
Created at: May 1, 2026, 1:47 a.m.