Triple

T3967449
Position Surface form Disambiguated ID Type / Status
Subject New York State Archives E92249 entity
Predicate archivesHoldingsExtent P53211 FINISHED
Object over 200 million documents 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 200 million documents | Statement: [New York State Archives, archivesHoldingsExtent, over 200 million documents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: archivesHoldingsExtent
Context triple: [New York State Archives, archivesHoldingsExtent, over 200 million documents]
  • A. archivesHeldIn
    Indicates that archival materials or records are stored, maintained, or preserved at a specified location or institution.
  • B. archivesHeldBy
    Indicates that archival materials or records are kept, managed, or preserved by a particular entity.
  • C. archivesType
    Indicates that one entity serves as an archival record or stored version of another entity, specifying the type or category of that archived content.
  • D. archivesModel
    Indicates that one entity stores and preserves another entity as an archived model for long-term reference or retrieval.
  • E. archiveType
    Indicates the classification or category assigned to an archive within a system or collection.
  • F. None of above. chosen

Provenance (4 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaca33e4819091957c7915857a42 completed March 9, 2026, 4:52 p.m.
PD Predicate disambiguation batch_69aef8f252b081909749d40440d372b2 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aefac8f7a48190b065487ce090eaf2 completed March 9, 2026, 4:52 p.m.
Created at: March 9, 2026, 3:32 p.m.