Triple

T4898436
Position Surface form Disambiguated ID Type / Status
Subject Edward Jenner E109738 entity
Predicate workLocation P7 FINISHED
Object Berkeley, Gloucestershire E181093 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: Berkeley, Gloucestershire | Statement: [Edward Jenner, workLocation, Berkeley, Gloucestershire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berkeley, Gloucestershire
Context triple: [Edward Jenner, workLocation, Berkeley, Gloucestershire]
  • A. Berkeley, Gloucestershire chosen
    Berkeley, Gloucestershire is a historic market town in southwest England, best known for its medieval castle and its association with the death of King Edward II.
  • B. Glocester
    Glocester is a rural town in northwestern Rhode Island known for its historic villages, woodlands, and small-town New England character.
  • C. Gloucester
    Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
  • D. Gloucester
    Gloucester is a historic cathedral city and port in southwest England, known for its medieval architecture and role as the county town of Gloucestershire.
  • E. Gloucester
    Gloucester is a rural town in New South Wales, Australia, known as a gateway to the Barrington Tops region and for its agriculture and scenic river valley setting.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e49992481908cc7cc1eeafd6494 completed March 20, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81b9ab4c81909173686a76d32a88 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:28 p.m.