Triple

T12593968
Position Surface form Disambiguated ID Type / Status
Subject Graham Baldwin E300685 entity
Predicate workLocation P7 FINISHED
Object Preston, Lancashire, England E24766 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: Preston, Lancashire, England | Statement: [Graham Baldwin, workLocation, Preston, Lancashire, England]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Preston, Lancashire, England
Context triple: [Graham Baldwin, workLocation, Preston, Lancashire, England]
  • A. Preston
    Preston is a masculine given name of English origin that has been used both as a first name and a surname.
  • B. Preston chosen
    Preston is a historic industrial city in Lancashire, England, known for its role in the Industrial Revolution and its status as a major urban center in the North West.
  • C. Preston
    Preston is a residential area and suburb within the Metropolitan Borough of North Tyneside in North East England.
  • D. Preston
    Preston is a locality within the Dover District of Kent, England, known as a small rural village community.
  • E. Preston
    Preston is a suburb in Melbourne, Australia, served by its own railway station on the metropolitan train network.
  • 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_69d7bdea2ca881908f379526c13b1145 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954cde3c0819094e74413d6dcf548 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671926a7c8190a41725cfde7836b1 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:08 p.m.