Triple

T16711201
Position Surface form Disambiguated ID Type / Status
Subject Howdenshire E406109 entity
Predicate containsSettlement P847 FINISHED
Object Yokefleet E1179946 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: Yokefleet | Statement: [Howdenshire, containsSettlement, Yokefleet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yokefleet
Context triple: [Howdenshire, containsSettlement, Yokefleet]
  • A. Yokefleet chosen
    Yokefleet is a small rural settlement in the East Riding of Yorkshire, England, situated on the north bank of the River Ouse.
  • B. Purfleet
    Purfleet is a town in Essex, England, historically significant as a military and industrial riverside settlement on the River Thames.
  • C. Hythe
    Hythe is a historic coastal town in Kent, England, known as one of the original Cinque Ports that once played a key role in maritime defense and trade.
  • D. Hythe
    Hythe is a small village in northwestern Alberta, Canada, situated west of the city of Grande Prairie.
  • E. BENFLEET
    Benfleet is a town in Essex, England, situated near the Thames Estuary and forming part of the commuter belt for London.
  • 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_69d8838db21081909589220fd71440a4 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e386523fc08190a13a4232af191992 completed April 18, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0091a95180819099abd50dd153e229 completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:20 a.m.