Triple

T22702660
Position Surface form Disambiguated ID Type / Status
Subject Cathkin Peak E561362 entity
Predicate near P350 FINISHED
Object Champagne Castle 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: Champagne Castle | Statement: [Cathkin Peak, near, Champagne Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champagne Castle
Context triple: [Cathkin Peak, near, Champagne Castle]
  • A. Champagne Castle chosen
    Champagne Castle is a prominent mountain peak in South Africa’s Drakensberg range, known for its dramatic cliffs and popular hiking routes.
  • B. Château de Brienne
    Château de Brienne is a historic French castle in the town of Brienne-le-Château, notably associated with Napoleon Bonaparte’s early military education.
  • C. Valère Castle
    Valère Castle is a historic fortified complex overlooking the town of Sion in the Swiss canton of Valais, notable for its medieval architecture and hilltop basilica.
  • D. Clisson Castle
    Clisson Castle is a medieval fortress in western France notable as the birthplace of Francis II, the last independent Duke of Brittany.
  • E. Walferdange Castle
    Walferdange Castle is a historic Luxembourgish residence best known as the place where Prince Henry of the Netherlands died in 1879.
  • 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cbf5788190bc8cd1bc71a861e5 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.