Triple

T9824506
Position Surface form Disambiguated ID Type / Status
Subject A338 road E238619 entity
Predicate passesThrough P225 FINISHED
Object Besselsleigh E822528 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: Besselsleigh | Statement: [A338 road, passesThrough, Besselsleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Besselsleigh
Context triple: [A338 road, passesThrough, Besselsleigh]
  • A. Besselsleigh chosen
    Besselsleigh is a small village and civil parish in Oxfordshire, England, known for its rural setting and historic manor.
  • B. Blayney
    Blayney is a rural town in New South Wales, Australia, known for its agricultural surroundings and role as a service centre in the Central Tablelands region.
  • C. Greenbush
    Greenbush is a village in Scituate, Massachusetts, that serves as the endpoint of the MBTA Commuter Rail’s Greenbush Line.
  • D. Belmead
    Belmead is a historic Gothic Revival mansion in Virginia designed by prominent 19th-century American architect Alexander Jackson Davis.
  • E. Bournedale
    Bournedale is a small village in the town of Bourne, Massachusetts, known for its rural character and proximity to the Cape Cod Canal.
  • 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_69ca84e0dd1881909800765d1e21f735 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3181c688190afea3b27ee392a30 completed April 2, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5b9110881909405d94e0db40eac completed April 5, 2026, 3:23 a.m.
Created at: March 30, 2026, 8:31 p.m.