Triple

T18932379
Position Surface form Disambiguated ID Type / Status
Subject Victoria Road (Cape Town) E463145 entity
Predicate connects P390 FINISHED
Object Bakoven NE NERFINISHED

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: Bakoven | Statement: [Victoria Road (Cape Town), connects, Bakoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bakoven
Context triple: [Victoria Road (Cape Town), connects, Bakoven]
  • A. Bakoven chosen
    Bakoven is a small, picturesque seaside suburb of Cape Town, South Africa, known for its rocky coves, sheltered beaches, and views of the Atlantic Ocean and Twelve Apostles.
  • B. Burkau
    Burkau is a small municipality in the eastern German state of Saxony, situated in the rural region near the town of Bautzen.
  • C. Boshof
    Boshof is a small town in South Africa’s Free State province, historically known for its agricultural economy and role in the Anglo-Boer War.
  • D. Bolken
    Bolken is a small Swiss municipality in the canton of Solothurn, situated in a rural area near Lake Inkwil.
  • E. Barnacken
    Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e498308190bd1594cca841199c completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.