Triple

T36877376
Position Surface form Disambiguated ID Type / Status
Subject Zandvlei Estuary Nature Reserve E911375 entity
Predicate partOf P40 FINISHED
Object City of Cape Town nature reserves
City of Cape Town nature reserves are a network of protected natural areas managed by the municipality to conserve the region’s unique biodiversity and provide recreational and educational opportunities.
 E2202307 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: City of Cape Town nature reserves | Statement: [Zandvlei Estuary Nature Reserve, partOf, City of Cape Town nature reserves]
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: City of Cape Town nature reserves
Triple: [Zandvlei Estuary Nature Reserve, partOf, City of Cape Town nature reserves]
Generated description
City of Cape Town nature reserves are a network of protected natural areas managed by the municipality to conserve the region’s unique biodiversity and provide recreational and educational opportunities.

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_69f76e82339881909607a65c0503d941 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7cff7f9a081908c649cd633d5a4bc completed May 3, 2026, 10:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3dfaeb7bec81908cc5c1a9c4a38006 completed June 26, 2026, 4:07 a.m.
NEDg Description generation batch_6a3dfe4d2c708190a7462241cc0542cf completed June 26, 2026, 4:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3e02e2530c8190ae5f6370ed43138b completed June 26, 2026, 4:41 a.m.
Created at: May 3, 2026, 4:13 p.m.