Triple

T2917941
Position Surface form Disambiguated ID Type / Status
Subject Berggarten E78650 entity
Predicate hasHerbariumCode P29687 FINISHED
Object HER
HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
 E309879 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: HER | Statement: [Berggarten, hasHerbariumCode, HER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HER
Context triple: [Berggarten, hasHerbariumCode, HER]
  • A. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • B. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. HER Love
    HER Love is likely a component work or track associated with the larger project or release titled "Let Love," contributing to its overall artistic or thematic expression.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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: HER
Triple: [Berggarten, hasHerbariumCode, HER]
Generated description
HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HER
Target entity description: HER is the official herbarium code assigned to the Berggarten botanical collection, used in scientific and taxonomic references.
  • A. HER
    HER is the commonly used abbreviation for the Harvard Educational Review, a scholarly journal focused on education research and policy.
  • B. Her
    Her is a 2013 science-fiction romantic drama film directed by Spike Jonze that explores a man's emotional relationship with an advanced artificial intelligence operating system.
  • C. She
    "She" is a track by the American punk rock band Green Day from their breakthrough 1994 album *Dookie*.
  • D. HER Love
    HER Love is likely a component work or track associated with the larger project or release titled "Let Love," contributing to its overall artistic or thematic expression.
  • E. HES
    HES is the commonly used abbreviation for Historic Environment Scotland, the public body responsible for protecting and promoting Scotland’s historic environment.
  • 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a41b4c81909d8ace8ab270ed3c completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0562c5b5081908026b3f590b03aca completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b0613dfb048190b08b01837088b9dd completed March 10, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69b06514562881909d3b08af898406f7 completed March 10, 2026, 6:38 p.m.
Created at: March 8, 2026, 2:54 p.m.