Triple

T10018439
Position Surface form Disambiguated ID Type / Status
Subject Library of Ashurbanipal E199554 entity
Predicate collectionSizeEstimate P425 FINISHED
Object over 30,000 tablets and fragments 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 30,000 tablets and fragments | Statement: [Library of Ashurbanipal, collectionSizeEstimate, over 30,000 tablets and fragments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: collectionSizeEstimate
Context triple: [Library of Ashurbanipal, collectionSizeEstimate, over 30,000 tablets and fragments]
  • A. collectionSize chosen
    Indicates the total number of items contained within a specified collection.
  • B. mineCountApproximate
    Indicates that the number of mines associated with an entity is estimated or roughly counted rather than known exactly.
  • C. estimatedMemberCount
    Indicates the approximate or predicted number of members associated with an entity.
  • D. hasApproximateMemberCount
    Indicates that an entity is associated with a group or collection for which only an estimated or non-exact number of members is known.
  • E. hasApproximateBrickCount
    Indicates that an entity is associated with an estimated or non-exact number of bricks.
  • 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_69ca8315a1a08190ab310f25620f362b completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd4de1588190a89ed575cff0b8c9 completed April 2, 2026, 1:58 a.m.
PD Predicate disambiguation batch_69cd4b7cd4208190b2253583ee2f892c completed April 1, 2026, 4:44 p.m.
Created at: March 30, 2026, 8:53 p.m.