Triple

T30352276
Position Surface form Disambiguated ID Type / Status
Subject iLembe District Municipality E772027 entity
Predicate contains P35 FINISHED
Object Maphumulo Local Municipality
Maphumulo Local Municipality is a local government area in the iLembe District of KwaZulu-Natal, South Africa, responsible for providing municipal services and administration to its predominantly rural communities.
E2205928 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: Maphumulo Local Municipality | Statement: [iLembe District Municipality, contains, Maphumulo Local Municipality]
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: Maphumulo Local Municipality
Triple: [iLembe District Municipality, contains, Maphumulo Local Municipality]
Generated description
Maphumulo Local Municipality is a local government area in the iLembe District of KwaZulu-Natal, South Africa, responsible for providing municipal services and administration to its predominantly rural communities.

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_69f2248c6f5c8190a6177842bf791a3c completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6823beafc81909d1cbfd11065be16 completed May 2, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e2c0ee33c819099c508556bc96f86 completed June 26, 2026, 7:36 a.m.
NEDg Description generation batch_6a3e2caad72c8190b621cd090825637e completed June 26, 2026, 7:39 a.m.
NED2 Entity disambiguation (via description) batch_6a3e4037818081909a019cf236392de4 completed June 26, 2026, 9:02 a.m.
Created at: April 29, 2026, 7:56 p.m.