Triple

T25588289
Position Surface form Disambiguated ID Type / Status
Subject Hjalmar Gullberg E641446 entity
Predicate has work in the collection P2011 FINISHED
Object Svenskt visarkiv
Svenskt visarkiv is a Swedish national archive and research center dedicated to collecting, preserving, and documenting traditional and contemporary music, songs, and performing arts.
 E1687860 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: Svenskt visarkiv | Statement: [Hjalmar Gullberg, has work in the collection, Svenskt visarkiv]
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: Svenskt visarkiv
Triple: [Hjalmar Gullberg, has work in the collection, Svenskt visarkiv]
Generated description
Svenskt visarkiv is a Swedish national archive and research center dedicated to collecting, preserving, and documenting traditional and contemporary music, songs, and performing arts.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: has work in the collection
Context triple: [Hjalmar Gullberg, has work in the collection, Svenskt visarkiv]
  • A. hasWorkInCollection chosen
    Indicates that a work or item is included as part of a particular collection.
  • B. hasWorkBy
    Indicates that one entity (such as a collection, exhibition, or publication) includes or contains creative works produced by another entity (such as an artist, author, or creator).
  • C. hasWorkPart
    Indicates that one work is a component, section, or constituent part of another, larger work.
  • D. hasWorkOn
    Indicates that one entity is associated with, contributes to, or performs work on another entity (such as a project, task, or artifact).
  • E. hasWorkCount
    Indicates the number of works (such as items, creations, or outputs) associated with a given 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_69e75dc42b588190a98b58e0df359674 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f96b32008190ad411ee7472c6b77 completed May 2, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b767d0788190820a893f7927ce3b completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b8652614819087580690269f6a3a completed May 22, 2026, 8:11 p.m.
NED2 Entity disambiguation (via description) batch_6a10b99e39b08190abbe927b4916c0ee completed May 22, 2026, 8:16 p.m.
PD Predicate disambiguation batch_69f49377411c8190b2188de444d76795 completed May 1, 2026, 11:50 a.m.
Created at: April 21, 2026, 4:18 p.m.