Triple

T16108412
Position Surface form Disambiguated ID Type / Status
Subject A81 road E390803 entity
Predicate passesThrough P225 FINISHED
Object Blanefield E575640 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: Blanefield | Statement: [A81 road, passesThrough, Blanefield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanefield
Context triple: [A81 road, passesThrough, Blanefield]
  • A. Blanefield chosen
    Blanefield is a small village in central Scotland, situated near the Campsie Fells and known for its scenic rural setting within the Stirling area.
  • B. Lanefield
    Lanefield is a rural locality within the Ipswich City Council area in Queensland, Australia, known for its agricultural land and small residential community.
  • C. Sandfield
    Sandfield is the nickname of John Sandfield Macdonald, a 19th-century Canadian politician who served as the first Premier of Ontario.
  • D. Sandfield
    Sandfield is a small rural community within the township of Central Manitoulin on Manitoulin Island in Ontario, Canada.
  • E. Woodfieldside
    Woodfieldside is a small residential area in South Wales situated near the town of Blackwood in Caerphilly County Borough.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20165aa9c81908c5358cca2b0d0fe completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba4479c81909f7d43e33f228f7e completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.