Triple

T24173035
Position Surface form Disambiguated ID Type / Status
Subject Alfred Nzo District Municipality E599199 entity
Predicate contains P35 FINISHED
Object Umzimvubu Local Municipality
Umzimvubu Local Municipality is a local government area in the Eastern Cape province of South Africa, responsible for providing municipal services and governance to its constituent communities.
E1858915 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: Umzimvubu Local Municipality | Statement: [Alfred Nzo District Municipality, contains, Umzimvubu 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: Umzimvubu Local Municipality
Triple: [Alfred Nzo District Municipality, contains, Umzimvubu Local Municipality]
Generated description
Umzimvubu Local Municipality is a local government area in the Eastern Cape province of South Africa, responsible for providing municipal services and governance to its constituent 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_69e288cbd62881909de32ca64a70c17b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1e17b42948190ac539277ea50ed25 completed April 29, 2026, 10:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2588efb8848190af8e46d0ca7746a2 completed June 7, 2026, 3:06 p.m.
NEDg Description generation batch_6a258d5c870881909c75fab5ef8093bd completed June 7, 2026, 3:25 p.m.
NED2 Entity disambiguation (via description) batch_6a2591728844819099129a16cb37bd69 completed June 7, 2026, 3:42 p.m.
Created at: April 17, 2026, 11:33 p.m.