Triple

T2763898
Position Surface form Disambiguated ID Type / Status
Subject Great Malvern E61288 entity
Predicate partOf P40 FINISHED
Object Malvern E95034 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: Malvern | Statement: [Great Malvern, partOf, Malvern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malvern
Context triple: [Great Malvern, partOf, Malvern]
  • A. Malvern chosen
    Malvern is a town in Worcestershire, England, known for its historic role in British scientific and defense research as well as its scenic Malvern Hills.
  • B. Malvern
    Malvern is a residential neighbourhood in the eastern part of Toronto, Ontario, known for its diverse community and suburban character.
  • C. Malvern
    Malvern is a borough in Chester County, Pennsylvania, known as a residential suburb of Philadelphia with regional rail access and a historic downtown.
  • D. Wallingford
    Wallingford is a historic market town on the River Thames in South Oxfordshire, England, known for its medieval castle remains and traditional town centre.
  • E. Wilton
    Wilton is a town in Saratoga County, New York, known for its suburban communities, commercial development, and proximity to Saratoga Springs.
  • 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_69ab4b7bab6c8190a5c2efef19a8ef34 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd541c2c8190a983a6f6a0b24ed9 completed March 7, 2026, 8:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc04630b8819081cd8ddac1d42184 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.