Triple

T16052478
Position Surface form Disambiguated ID Type / Status
Subject Swartland E389388 entity
Predicate hasTown P847 FINISHED
Object Malmesbury E951115 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: Malmesbury | Statement: [Swartland, hasTown, Malmesbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malmesbury
Context triple: [Swartland, hasTown, Malmesbury]
  • A. Malmesbury chosen
    Malmesbury is a historic agricultural town in South Africa’s Western Cape, known as a service and commercial hub for the surrounding Swartland grain and wine-farming region.
  • B. Malmesbury
    Malmesbury is a historic market town in Wiltshire, England, renowned for its ancient abbey and status as one of the oldest continually inhabited towns in the country.
  • C. Sherborne
    Sherborne is a small rural village in West Oxfordshire, England, known for its traditional Cotswold stone buildings and picturesque countryside setting.
  • D. Sherborne
    Sherborne is a historic market town in southwest England renowned for its medieval abbey, castles, and well-preserved architecture.
  • E. Brize Norton
    Brize Norton is a village in Oxfordshire, England, best known for its proximity to RAF Brize Norton, one of the UK’s largest and busiest Royal Air Force stations.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183627bd88190bf94054de13a7733 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe2d87c8190ba7f16feb018e70c completed May 10, 2026, 1:14 a.m.
Created at: April 10, 2026, 4:56 a.m.