Triple

T3205316
Position Surface form Disambiguated ID Type / Status
Subject COVID-19 pandemic E67147 entity
Predicate hasCauseAgent P19389 FINISHED
Object SARS-CoV-2
SARS-CoV-2 is the novel coronavirus responsible for the global outbreak of the respiratory disease COVID-19.
 E335284 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: SARS-CoV-2 | Statement: [COVID-19 pandemic, hasCauseAgent, SARS-CoV-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SARS-CoV-2
Context triple: [COVID-19 pandemic, hasCauseAgent, SARS-CoV-2]
  • A. Omicron
    Omicron is a vowel letter of the Greek alphabet, historically representing a short "o" sound and used today in various scientific and mathematical contexts.
  • B. Ad26.COV2.S
    Ad26.COV2.S is a single-dose, adenovirus vector-based COVID-19 vaccine developed by Janssen (Johnson & Johnson) to provide protection against SARS-CoV-2 infection.
  • C. COVID-19 pandemic
    The COVID-19 pandemic is a global outbreak of the coronavirus SARS-CoV-2 that began in late 2019, causing widespread illness, deaths, and major disruptions to societies and economies worldwide.
  • D. RSV
    RSV is a widely used mid-20th-century English translation of the Bible that sought to update archaic language while retaining a traditional literary style.
  • E. BRSV
    BRSV is the National Rail station code for Race–Vine station in Philadelphia, Pennsylvania.
  • 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: SARS-CoV-2
Triple: [COVID-19 pandemic, hasCauseAgent, SARS-CoV-2]
Generated description
SARS-CoV-2 is the novel coronavirus responsible for the global outbreak of the respiratory disease COVID-19.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SARS-CoV-2
Target entity description: SARS-CoV-2 is the novel coronavirus responsible for the global outbreak of the respiratory disease COVID-19.
  • A. Omicron
    Omicron is a vowel letter of the Greek alphabet, historically representing a short "o" sound and used today in various scientific and mathematical contexts.
  • B. Ad26.COV2.S
    Ad26.COV2.S is a single-dose, adenovirus vector-based COVID-19 vaccine developed by Janssen (Johnson & Johnson) to provide protection against SARS-CoV-2 infection.
  • C. COVID-19 pandemic
    The COVID-19 pandemic is a global outbreak of the coronavirus SARS-CoV-2 that began in late 2019, causing widespread illness, deaths, and major disruptions to societies and economies worldwide.
  • D. RSV
    RSV is a widely used mid-20th-century English translation of the Bible that sought to update archaic language while retaining a traditional literary style.
  • E. BRSV
    BRSV is the National Rail station code for Race–Vine station in Philadelphia, Pennsylvania.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa559848819082d1e61f586278dd completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
NEDg Description generation batch_69b24ca05434819080ee515b1e7bdcb4 completed March 12, 2026, 5:18 a.m.
NED2 Entity disambiguation (via description) batch_69b24d19250c81908a9c3ac95b83a473 completed March 12, 2026, 5:20 a.m.
Created at: March 8, 2026, 3:07 p.m.