Triple

T11220052
Position Surface form Disambiguated ID Type / Status
Subject Muizenberg E265535 entity
Predicate locatedNear P294 FINISHED
Object Lakeside
Lakeside is a residential suburb in Cape Town, South Africa, situated near the coastal area of Muizenberg by the shores of Zandvlei.
 E884230 NE FINISHED

How this triple was built (4 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: Lakeside | Statement: [Muizenberg, locatedNear, Lakeside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lakeside
Context triple: [Muizenberg, locatedNear, Lakeside]
  • A. Lakeside
    Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
  • B. Lakeside
    Lakeside is a suburban community in San Diego County, California, known for its semi-rural character and proximity to reservoirs and outdoor recreation areas.
  • C. Lakeside
    Lakeside is an upscale seafood restaurant at the Wynn Las Vegas known for its lakefront views and fine dining experience.
  • D. Lakeside
    Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
  • E. Lakeside
    Lakeside is a small settlement in England’s Lake District, known as a lakeside stop and tourist base on the southern shore of Windermere.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lakeside
Triple: [Muizenberg, locatedNear, Lakeside]
Generated description
Lakeside is a residential suburb in Cape Town, South Africa, situated near the coastal area of Muizenberg by the shores of Zandvlei.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lakeside
Target entity description: Lakeside is a residential suburb in Cape Town, South Africa, situated near the coastal area of Muizenberg by the shores of Zandvlei.
  • A. Lakeside chosen
    Lakeside is a suburban residential and commercial area in Cape Town, South Africa, situated near the shores of Zandvlei and overlooked by the Steenberg mountains.
  • B. Lakeside
    Lakeside is a suburban community in San Diego County, California, known for its semi-rural character and proximity to reservoirs and outdoor recreation areas.
  • C. Lakeside
    Lakeside is a small settlement in England’s Lake District, known as a lakeside stop and tourist base on the southern shore of Windermere.
  • D. Lakeside
    Lakeside is a suburban community in Henrico County, Virginia, known for its residential neighborhoods and proximity to the city of Richmond.
  • E. Lakeside
    Lakeside is a residential neighborhood in the city of Wakefield, Massachusetts, known for its proximity to the town’s lakes and local amenities.
  • F. None of above.

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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8eb84c48190b4f3bede254afde2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4976f38788190855aed6338d819b7 completed April 19, 2026, 8:50 a.m.
NEDg Description generation batch_69e49d37989881909c7e75ddfff06726 completed April 19, 2026, 9:15 a.m.
NED2 Entity disambiguation (via description) batch_69e49f41a1f8819087cc15527dc7ff63 completed April 19, 2026, 9:24 a.m.
Created at: April 8, 2026, 9:30 p.m.