Triple

T23353926
Position Surface form Disambiguated ID Type / Status
Subject Islands of the Lake District E592991 entity
Predicate hasLake P1025 FINISHED
Object Grasmere 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: Grasmere | Statement: [Islands of the Lake District, hasLake, Grasmere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grasmere
Context triple: [Islands of the Lake District, hasLake, Grasmere]
  • A. Grasmere
    Grasmere is a residential neighborhood on Staten Island, New York City, known for its suburban character and proximity to a namesake lake.
  • B. Grasmere chosen
    Grasmere is a picturesque village and lake in England’s Lake District, famed for its association with poet William Wordsworth and its scenic surroundings.
  • C. Wedgemere
    Wedgemere is a commuter rail station in Winchester, Massachusetts, served by the MBTA on its Lowell Line.
  • D. Grasmere Lake
    Grasmere Lake is a picturesque small lake in England’s Lake District, renowned for its scenic beauty and association with the poet William Wordsworth.
  • E. Hawkshead
    Hawkshead is a historic village in England’s Lake District, known for its picturesque streets, literary connections to Beatrix Potter and William Wordsworth, and traditional Cumbrian charm.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a15d0a48190862179254c09c6d1 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:20 p.m.