Triple

T22339512
Position Surface form Disambiguated ID Type / Status
Subject Microascaceae E552235 entity
Predicate containsTaxon P9413 FINISHED
Object Kernia
Kernia is a genus of fungi in the family Microascaceae, comprising microscopic, typically saprobic species found in soil and decaying organic matter.
E1530778 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: Kernia | Statement: [Microascaceae, containsTaxon, Kernia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kernia
Context triple: [Microascaceae, containsTaxon, Kernia]
  • A. Karnut
    Karnut is a rural village located within Armenia's Shirak Province.
  • B. Kurn
    Kurn is a Klingon warrior and the younger brother of Worf in the Star Trek universe.
  • C. Kerki
    Kerki is a town in eastern Turkmenistan situated on the Amu Darya River, historically known as a regional trading and transport hub.
  • D. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • E. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • 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: Kernia
Triple: [Microascaceae, containsTaxon, Kernia]
Generated description
Kernia is a genus of fungi in the family Microascaceae, comprising microscopic, typically saprobic species found in soil and decaying organic matter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kernia
Target entity description: Kernia is a genus of fungi in the family Microascaceae, comprising microscopic, typically saprobic species found in soil and decaying organic matter.
  • A. Karnut
    Karnut is a rural village located within Armenia's Shirak Province.
  • B. Kurn
    Kurn is a Klingon warrior and the younger brother of Worf in the Star Trek universe.
  • C. Kerki
    Kerki is a town in eastern Turkmenistan situated on the Amu Darya River, historically known as a regional trading and transport hub.
  • D. Kornhain
    Kornhain is a village-level subdivision of the town of Wurzen in the German state of Saxony.
  • E. Keratea
    Keratea is a town in eastern Attica, Greece, known for its historical significance and proximity to the Athens metropolitan area.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157824f588190882bea9e61dd5a83 completed April 29, 2026, 12:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ad52d8b488190b9cba9b47f8f6e3d completed May 18, 2026, 9 a.m.
NEDg Description generation batch_6a0ad993b9188190aacf482038b3cd29 completed May 18, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_6a0ada0cef848190864a88d7baa24a81 completed May 18, 2026, 9:21 a.m.
Created at: April 16, 2026, 8:43 p.m.