Triple

T17529940
Position Surface form Disambiguated ID Type / Status
Subject A488 road E426901 entity
Predicate hasTerminus P388 FINISHED
Object Shrewsbury 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: Shrewsbury | Statement: [A488 road, hasTerminus, Shrewsbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shrewsbury
Context triple: [A488 road, hasTerminus, Shrewsbury]
  • A. Shrewsbury
    Shrewsbury is a suburban town in central Massachusetts known for its residential character, historic New England charm, and proximity to the city of Worcester.
  • B. Shrewsbury chosen
    Shrewsbury is a historic market town in Shropshire, England, known for its well-preserved medieval streets and timber-framed buildings.
  • C. Shrewsbury
    Shrewsbury is a small rural town in Rutland County, Vermont, known for its scenic Green Mountain landscapes and tight-knit community.
  • D. Tewkesbury
    Tewkesbury is a rural locality in the north-west of Tasmania, Australia, situated inland from the coastal city of Burnie.
  • E. Tewkesbury
    Tewkesbury is a historic market town in England known for its well-preserved medieval streets, timber-framed buildings, and the prominent Tewkesbury Abbey.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45367d68c819097f300381322f11d completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.