Triple

T15815280
Position Surface form Disambiguated ID Type / Status
Subject Cambridge, Ontario E383457 entity
Predicate hasLandmark P105 FINISHED
Object Cambridge Mill E225837 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: Cambridge Mill | Statement: [Cambridge, Ontario, hasLandmark, Cambridge Mill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cambridge Mill
Context triple: [Cambridge, Ontario, hasLandmark, Cambridge Mill]
  • A. Cambridge Mill chosen
    Cambridge Mill is a historic riverside mill in Cambridge, Ontario that has been restored into a popular dining and event venue.
  • B. Clarence Mill
    Clarence Mill is a historic former cotton spinning mill in Bollington, Cheshire, now partly converted for modern commercial and residential use.
  • C. Kingston Mill
    Kingston Mill is a historic mill complex in Kingston, New Jersey, known for its 19th-century industrial architecture and role in the region’s early milling industry.
  • D. Bardon Mill
    Bardon Mill is a small village in Northumberland, England, situated near Hadrian’s Wall and the Roman fort of Vindolanda.
  • E. Riding Mill
    Riding Mill is a small village in Northumberland, England, situated on the River Tyne and served by a station on the Tyne Valley railway line.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a219508190b8588120ec415ac7 completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff99959f048190ae24a072387ec233 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.