Triple

T5654277
Position Surface form Disambiguated ID Type / Status
Subject Museum of English Rural Life E124578 entity
Predicate hasArchiveSize P34032 FINISHED
Object over 1 million photographs LITERAL 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: over 1 million photographs | Statement: [Museum of English Rural Life, hasArchiveSize, over 1 million photographs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasArchiveSize
Context triple: [Museum of English Rural Life, hasArchiveSize, over 1 million photographs]
  • A. hasSize chosen
    Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
  • B. hasNotableArchive
    Indicates that an entity maintains or is associated with an archive that is considered significant or noteworthy.
  • C. archivesStatus
    Indicates the current archival state or condition assigned to an item, such as whether it is archived, active, or pending archiving.
  • D. hasArchType
    Indicates that one entity possesses or is characterized by a particular architectural type or style.
  • E. archiveContent
    Indicates that content is being stored or moved into an archive state for long-term retention or historical reference.
  • F. None of above.

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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f7efec8190946c925130176d5a completed March 22, 2026, 5:12 p.m.
PD Predicate disambiguation batch_69c01b2274b48190b2ef57ed728f785c completed March 22, 2026, 4:38 p.m.
Created at: March 22, 2026, 3:42 p.m.