Triple

T13676627
Position Surface form Disambiguated ID Type / Status
Subject Pevensey E327893 entity
Predicate hasDomesdayBookEntry P17484 FINISHED
Object Pevensey E327893 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: Pevensey | Statement: [Pevensey, hasDomesdayBookEntry, Pevensey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pevensey
Context triple: [Pevensey, hasDomesdayBookEntry, Pevensey]
  • A. Pevensey chosen
    Pevensey is a historic village and former port in East Sussex, England, known for its Roman fort, medieval castle, and role in the Norman Conquest.
  • B. Pagham
    Pagham is a coastal village and parish in West Sussex, England, known for its shingle beach, nature reserve, and popular seaside holiday facilities.
  • C. Winchelsea
    Winchelsea is a historic small town in East Sussex, England, known as one of the medieval Cinque Ports and noted for its well-preserved Georgian and medieval architecture.
  • D. Pevensey Bay
    Pevensey Bay is a coastal area in East Sussex, England, known for its shingle beach, seaside village, and proximity to the historic Pevensey Levels and English Channel.
  • E. Oxburgh
    Oxburgh is a surname most notably associated with Ronald Oxburgh, a British geologist, academic, and crossbench life peer in the House of Lords.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc65c04988190b675e6fb7241e53c completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d487e2c8190909e1c80cc2262ed completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:53 p.m.