Triple

T32915404
Position Surface form Disambiguated ID Type / Status
Subject Deutsche Digitale Bibliothek E841995 entity
Predicate aggregatesInto P125335 FINISHED
Object Europeana
Europeana is a digital platform that provides unified online access to millions of cultural heritage items from museums, libraries, archives, and galleries across Europe.
 E2027379 NE FINISHED

How this triple was built (3 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: Europeana | Statement: [Deutsche Digitale Bibliothek, aggregatesInto, Europeana]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Europeana
Triple: [Deutsche Digitale Bibliothek, aggregatesInto, Europeana]
Generated description
Europeana is a digital platform that provides unified online access to millions of cultural heritage items from museums, libraries, archives, and galleries across Europe.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: aggregatesInto
Context triple: [Deutsche Digitale Bibliothek, aggregatesInto, Europeana]
  • A. groupedInto
    Indicates that multiple entities are collected or organized together as members of a common group or category.
  • B. supportsAggregation
    Indicates that one entity enables or allows another entity to be combined, grouped, or summarized with others through an aggregation operation.
  • C. organizesInto
    Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
  • D. nestAggregation chosen
    Indicates that one aggregation is hierarchically contained within or grouped under another aggregation.
  • E. aggregationProperty
    Indicates that one entity serves as an aggregation or summary of values or instances associated with another entity.
  • F. None of above.

Provenance (6 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_69f3494779388190a5d3e97f92278be2 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d0d46aec819091edf97324d793ac completed May 3, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34c69ba59c81908e3b344b88c8069f completed June 19, 2026, 4:33 a.m.
NEDg Description generation batch_6a34c8099fcc8190a33a3dcf68af6e3c completed June 19, 2026, 4:39 a.m.
NED2 Entity disambiguation (via description) batch_6a34c884ca608190ac64f8cf72d50d18 completed June 19, 2026, 4:41 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:19 a.m.