Triple

T32548349
Position Surface form Disambiguated ID Type / Status
Subject Burundi National Archives E831904 entity
Predicate documentTypePreserved P177798 FINISHED
Object official records 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: official records | Statement: [Burundi National Archives, documentTypePreserved, official records]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: documentTypePreserved
Context triple: [Burundi National Archives, documentTypePreserved, official records]
  • A. documentTypeUsed
    Indicates that a particular type or category of document is employed or applied in a given context or activity.
  • B. documentTypeIncluded
    Indicates that a particular document type is contained within, or is part of, a specified set or collection of document types.
  • C. documentTypeContext
    Indicates the contextual relationship between a document and its specific type or classification within a given setting or usage scenario.
  • D. documentTypePromoted
    Indicates that a particular document type has been elevated in status or priority, such as being highlighted, recommended, or given preferential treatment over other document types.
  • E. mediaTypePreserved
    Indicates that the original media type or format of an item has been maintained without alteration.
  • 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_69f34925fd08819084cfe4ec566cb704 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
PDg Predicate description generation batch_69f70519f114819080659840c04d7911 completed May 3, 2026, 8:19 a.m.
Created at: May 1, 2026, 1:02 a.m.