Triple
T15980915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mundaneum museum in Mons, Belgium |
E387567
|
entity |
| Predicate | focusesOn |
P31
|
FINISHED |
| Object |
universal bibliographic repertory
The universal bibliographic repertory was an ambitious late-19th- and early-20th-century project by Paul Otlet and Henri La Fontaine to create a comprehensive, card-based index of all the world’s published knowledge.
|
E1188613
|
NE FINISHED |
How this triple was built (4 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: universal bibliographic repertory | Statement: [Mundaneum museum in Mons, Belgium, focusesOn, universal bibliographic repertory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: universal bibliographic repertory Context triple: [Mundaneum museum in Mons, Belgium, focusesOn, universal bibliographic repertory]
-
A.
BNF bibliographic database
The BNF bibliographic database is the comprehensive online catalog of the Bibliothèque nationale de France, providing detailed bibliographic records for its collections of books, manuscripts, and other documents.
-
B.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
C.
FRBRoo
FRBRoo is an object-oriented conceptual model that harmonizes the FRBR bibliographic framework with the CIDOC CRM ontology to support rich, interoperable descriptions of cultural heritage and bibliographic information.
-
D.
Functional Requirements for Bibliographic Records
Functional Requirements for Bibliographic Records (FRBR) is a conceptual model developed by the International Federation of Library Associations to define user-focused tasks and relationships for bibliographic records in library catalogs.
-
E.
BibDesk
BibDesk is a macOS reference management application designed to help users organize and cite bibliographic data, especially for LaTeX documents.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: universal bibliographic repertory Triple: [Mundaneum museum in Mons, Belgium, focusesOn, universal bibliographic repertory]
Generated description
The universal bibliographic repertory was an ambitious late-19th- and early-20th-century project by Paul Otlet and Henri La Fontaine to create a comprehensive, card-based index of all the world’s published knowledge.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: universal bibliographic repertory Target entity description: The universal bibliographic repertory was an ambitious late-19th- and early-20th-century project by Paul Otlet and Henri La Fontaine to create a comprehensive, card-based index of all the world’s published knowledge.
-
A.
BNF bibliographic database
The BNF bibliographic database is the comprehensive online catalog of the Bibliothèque nationale de France, providing detailed bibliographic records for its collections of books, manuscripts, and other documents.
-
B.
UNBIS Thesaurus
The UNBIS Thesaurus is a controlled vocabulary used by the United Nations for indexing and retrieving documents and information across its bibliographic and information systems.
-
C.
FRBRoo
FRBRoo is an object-oriented conceptual model that harmonizes the FRBR bibliographic framework with the CIDOC CRM ontology to support rich, interoperable descriptions of cultural heritage and bibliographic information.
-
D.
Functional Requirements for Bibliographic Records
Functional Requirements for Bibliographic Records (FRBR) is a conceptual model developed by the International Federation of Library Associations to define user-focused tasks and relationships for bibliographic records in library catalogs.
-
E.
BibDesk
BibDesk is a macOS reference management application designed to help users organize and cite bibliographic data, especially for LaTeX documents.
- F. None of above. chosen
Provenance (5 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15754e8648190a93b73184db089a7 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cb0ed48190b35c19f3961f183b |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc5f664148190a1f400c28d31cafe |
completed | May 9, 2026, 11:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc6f9b4f4819092600165241377f6 |
completed | May 9, 2026, 11:44 p.m. |
Created at: April 10, 2026, 4:54 a.m.