Triple

T9773758
Position Surface form Disambiguated ID Type / Status
Subject Romney Marsh E237193 entity
Predicate contains P35 FINISHED
Object Lydd E372517 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: Lydd | Statement: [Romney Marsh, contains, Lydd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lydd
Context triple: [Romney Marsh, contains, Lydd]
  • A. Lydd chosen
    Lydd is a small historic town in Kent, England, situated on the Romney Marsh and known for its medieval church and proximity to the English Channel.
  • B. Esher
    Esher is a suburban town in the borough of Elmbridge in Surrey, England, known for its affluent residential character and proximity to London.
  • C. Basildon
    Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
  • D. Hainault
    Hainault is a suburban area in northeast London, England, known for its residential character and proximity to Hainault Forest Country Park.
  • E. Swanscombe
    Swanscombe is a town in Kent, England, known for its archaeological significance and proximity to major transport links including Ebbsfleet International railway station.
  • 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_69ca84d975a08190aab25b02a89bdab3 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0f6b8348190bd05b94519de9bc9 completed April 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d2699ec50481908d83d3d22e102fb2 completed April 5, 2026, 1:54 p.m.
Created at: March 30, 2026, 8:26 p.m.