Triple

T5408337
Position Surface form Disambiguated ID Type / Status
Subject Borrowdale E120947 entity
Predicate boundedBy P224 FINISHED
Object Glaramara E517054 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: Glaramara | Statement: [Borrowdale, boundedBy, Glaramara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glaramara
Context triple: [Borrowdale, boundedBy, Glaramara]
  • A. Glaramara chosen
    Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
  • B. Magor
    Magor is a large village and community in Monmouthshire, southeast Wales, known for its historic church and proximity to the Severn Estuary and major transport links.
  • C. Thalgau
    Thalgau is a municipality in the Austrian state of Salzburg, known for its scenic Alpine surroundings and proximity to the city of Salzburg.
  • D. Dagmaer
    Dagmaer is a given name, likely a variant of the Scandinavian name Dagmar, used as a personal feminine first name.
  • E. Ferragus
    Ferragus is a novel by Honoré de Balzac that forms part of his La Comédie humaine cycle, depicting the secretive underworld and social intrigues of Parisian 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_69bd46391c0c81909fa484446732b6a3 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8794e0c4819082bebf2da5e41201 completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3aa0b00c8190aab3e475e19c3276 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:05 p.m.