Triple

T20992000
Position Surface form Disambiguated ID Type / Status
Subject Fairfield E517047 entity
Predicate hasCommonAscentRouteFrom P37604 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: [Fairfield, hasCommonAscentRouteFrom, Grasmere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grasmere
Context triple: [Fairfield, hasCommonAscentRouteFrom, 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1cbb10819089e4f1445b921946 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.