Triple

T35356595
Position Surface form Disambiguated ID Type / Status
Subject Kannaland Local Municipality E1021348 entity
Predicate hasLegislativeBody P239 FINISHED
Object Kannaland Municipal Council
Kannaland Municipal Council is the elected governing body responsible for making local government decisions and bylaws for the Kannaland Local Municipality in South Africa.
E1021348 NE FINISHED

How this triple was built (2 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: Kannaland Municipal Council | Statement: [Kannaland Local Municipality, hasLegislativeBody, Kannaland Municipal Council]
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: Kannaland Municipal Council
Triple: [Kannaland Local Municipality, hasLegislativeBody, Kannaland Municipal Council]
Generated description
Kannaland Municipal Council is the elected governing body responsible for making local government decisions and bylaws for the Kannaland Local Municipality in South Africa.

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_69f76def44c881908a20e8008572eb44 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79199c5a88190a25e384916c091fc completed May 3, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cb1cb508190b727f85b0e018105 completed June 21, 2026, 6:25 p.m.
NEDg Description generation batch_6a382d9b560c8190aafc19ece32a2b5e completed June 21, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_6a382df6dadc81908924040fb46e5fcf completed June 21, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:03 p.m.