Triple

T13689103
Position Surface form Disambiguated ID Type / Status
Subject Paarl Rock E328213 entity
Predicate overlooks P1323 FINISHED
Object Paarl E64645 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: Paarl | Statement: [Paarl Rock, overlooks, Paarl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paarl
Context triple: [Paarl Rock, overlooks, Paarl]
  • A. Paarl chosen
    Paarl is a historic town in South Africa renowned for its wine estates, scenic granite rock formations, and role in the development of the Afrikaans language.
  • B. Durbanville
    Durbanville is a suburban town in the northern outskirts of Cape Town, South Africa, known for its wine estates and residential character.
  • C. Uitenhage
    Uitenhage is a South African town in the Eastern Cape known historically for its automotive industry and as part of the greater Port Elizabeth (Gqeberha) urban area.
  • D. Tulbagh
    Tulbagh is a historic town in South Africa’s Western Cape, known for its Cape Dutch architecture and surrounding wine-producing valley.
  • E. Muizenberg
    Muizenberg is a seaside suburb of Cape Town, South Africa, known for its popular surfing beach and colorful Victorian beach huts.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6721c248190ac48491b5f39c8f0 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06a3e208190a24e6cd9cb97e99c completed May 8, 2026, 2:17 p.m.
Created at: April 9, 2026, 9:53 p.m.