Triple

T14524987
Position Surface form Disambiguated ID Type / Status
Subject Atlantic Seaboard E340751 entity
Predicate contains P35 FINISHED
Object Bakoven
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.
 E1104600 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: Bakoven | Statement: [Atlantic Seaboard, contains, Bakoven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bakoven
Context triple: [Atlantic Seaboard, contains, Bakoven]
  • A. 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.
  • B. Bolken
    Bolken is a small Swiss municipality in the canton of Solothurn, situated in a rural area near Lake Inkwil.
  • C. Barnacken
    Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
  • D. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • E. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • 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: Bakoven
Triple: [Atlantic Seaboard, contains, Bakoven]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bakoven
Target entity description: 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.
  • A. 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.
  • B. Bolken
    Bolken is a small Swiss municipality in the canton of Solothurn, situated in a rural area near Lake Inkwil.
  • C. Barnacken
    Barnacken is a hill in North Rhine-Westphalia, Germany, known as the highest elevation in the Teutoburg Forest range.
  • D. Bösperde
    Bösperde is a district of the town of Menden in North Rhine-Westphalia, Germany, known as a primarily residential suburban area.
  • E. Kremmen
    Kremmen is a small town and municipality in the Oberhavel district of the German state of Brandenburg.
  • F. None of above. chosen

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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dea04f16f88190ba357b0f8021b46b completed April 14, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a50324481909713bbf68295e839 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7c52e0bc8190b8c4b270653e65df completed May 8, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69fd7cf3088c8190a3bf53c9599f0304 completed May 8, 2026, 6:04 a.m.
Created at: April 10, 2026, 1:22 a.m.