Triple

T9978809
Position Surface form Disambiguated ID Type / Status
Subject Botanical Garden Munich-Nymphenburg E196398 entity
Predicate operatedBy P86 FINISHED
Object Bavarian State Collection for Botany
The Bavarian State Collection for Botany is a major scientific institution in Munich dedicated to the research, documentation, and preservation of plant biodiversity, including extensive herbarium and botanical collections.
E834069 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: Bavarian State Collection for Botany | Statement: [Botanical Garden Munich-Nymphenburg, operatedBy, Bavarian State Collection for Botany]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bavarian State Collection for Botany
Context triple: [Botanical Garden Munich-Nymphenburg, operatedBy, Bavarian State Collection for Botany]
  • A. Botanischer Garten der Universität Leipzig
    The Botanischer Garten der Universität Leipzig is one of the oldest botanical gardens in Germany, serving as a research, teaching, and public education facility associated with the University of Leipzig.
  • B. Botanical Garden Munich-Nymphenburg
    The Botanical Garden Munich-Nymphenburg is a major botanical garden and research institution in Munich renowned for its extensive plant collections, greenhouses, and educational exhibits.
  • C. Old Botanical Garden of the University of Göttingen
    The Old Botanical Garden of the University of Göttingen is a historic university botanical garden in Göttingen, Germany, known for its diverse plant collections and role in botanical research and teaching.
  • D. Linnaean herbarium
    The Linnaean herbarium is the historic collection of plant specimens assembled by Carl Linnaeus that underpins much of modern botanical taxonomy and nomenclature.
  • E. Olbrich Botanical Society
    The Olbrich Botanical Society is a nonprofit organization that manages and supports the development, operations, and programming of Olbrich Botanical Gardens in Madison, Wisconsin.
  • 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: Bavarian State Collection for Botany
Triple: [Botanical Garden Munich-Nymphenburg, operatedBy, Bavarian State Collection for Botany]
Generated description
The Bavarian State Collection for Botany is a major scientific institution in Munich dedicated to the research, documentation, and preservation of plant biodiversity, including extensive herbarium and botanical collections.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bavarian State Collection for Botany
Target entity description: The Bavarian State Collection for Botany is a major scientific institution in Munich dedicated to the research, documentation, and preservation of plant biodiversity, including extensive herbarium and botanical collections.
  • A. Botanischer Garten der Universität Leipzig
    The Botanischer Garten der Universität Leipzig is one of the oldest botanical gardens in Germany, serving as a research, teaching, and public education facility associated with the University of Leipzig.
  • B. Botanical Garden Munich-Nymphenburg
    The Botanical Garden Munich-Nymphenburg is a major botanical garden and research institution in Munich renowned for its extensive plant collections, greenhouses, and educational exhibits.
  • C. Old Botanical Garden of the University of Göttingen
    The Old Botanical Garden of the University of Göttingen is a historic university botanical garden in Göttingen, Germany, known for its diverse plant collections and role in botanical research and teaching.
  • D. Linnaean herbarium
    The Linnaean herbarium is the historic collection of plant specimens assembled by Carl Linnaeus that underpins much of modern botanical taxonomy and nomenclature.
  • E. Olbrich Botanical Society
    The Olbrich Botanical Society is a nonprofit organization that manages and supports the development, operations, and programming of Olbrich Botanical Gardens in Madison, Wisconsin.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb850bde48190a06b77757f8c081b completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257d3fc308190b82b3731139d15cb completed April 5, 2026, 12:38 p.m.
NEDg Description generation batch_69d258b6d9c0819096dbd3e85dc6adfc completed April 5, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69d25981db3c8190b7b4935cdcc1fe1c completed April 5, 2026, 12:45 p.m.
Created at: March 30, 2026, 8:49 p.m.