Triple

T3213894
Position Surface form Disambiguated ID Type / Status
Subject Cape Flats E67345 entity
Predicate locatedOn P40 FINISHED
Object Cape Peninsula E159843 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: Cape Peninsula | Statement: [Cape Flats, locatedOn, Cape Peninsula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cape Peninsula
Context triple: [Cape Flats, locatedOn, Cape Peninsula]
  • A. Cape Peninsula chosen
    The Cape Peninsula is a scenic, mountainous peninsula in South Africa that extends into the Atlantic Ocean and includes Cape Town and several famous coastal landmarks.
  • B. Cape Flats
    The Cape Flats is a low-lying, sandy plain on the outskirts of Cape Town, South Africa, known for its dense townships, socio-economic challenges, and cultural diversity.
  • C. Knysna
    Knysna is a picturesque coastal town in South Africa known for its lagoon, indigenous forests, and role as a major tourist destination along the Garden Route.
  • D. Cape Agulhas
    Cape Agulhas is the rocky headland on the southern tip of South Africa that marks the geographic meeting point of the Atlantic and Indian Oceans.
  • E. South African coast
    The South African coast is a biodiverse marine and coastal region where cold and warm ocean currents meet, supporting rich ecosystems of kelp forests, rocky shores, and abundant marine life.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaabd01d48190be0dc610b9987a25 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b26237211c81908cddc4e8d42e497e completed March 12, 2026, 6:50 a.m.
Created at: March 8, 2026, 3:07 p.m.