Triple

T27281145
Position Surface form Disambiguated ID Type / Status
Subject Jean Castex E688333 entity
Predicate termInOfficeIncludesEvent P17853 FINISHED
Object COVID-19 pandemic in France
The COVID-19 pandemic in France was a major public health crisis beginning in early 2020 that led to nationwide lockdowns, strained hospitals, extensive testing and vaccination campaigns, and significant social and economic disruption.
E1762337 NE FINISHED

How this triple was built (3 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: COVID-19 pandemic in France | Statement: [Jean Castex, termInOfficeIncludesEvent, COVID-19 pandemic in France]
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: COVID-19 pandemic in France
Triple: [Jean Castex, termInOfficeIncludesEvent, COVID-19 pandemic in France]
Generated description
The COVID-19 pandemic in France was a major public health crisis beginning in early 2020 that led to nationwide lockdowns, strained hospitals, extensive testing and vaccination campaigns, and significant social and economic disruption.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: termInOfficeIncludesEvent
Context triple: [Jean Castex, termInOfficeIncludesEvent, COVID-19 pandemic in France]
  • A. termInOfficeContext
    Indicates that one entity’s tenure or period of holding an office, role, or position is being specified or contextualized in relation to another entity or timeframe.
  • B. termInOffice
    Indicates the period during which an individual officially holds a particular office or position.
  • C. notableEventDuringTerm chosen
    Indicates that a significant or noteworthy event occurred during the time span of a particular term in office or period of service.
  • D. termWon
    Indicates that a particular term, candidate, or entity has achieved victory or success in a specified contest, election, or competitive context.
  • E. governmentDuringTerm
    Indicates that a particular government is the one in power during a specified officeholder’s term.
  • F. None of above.

Provenance (6 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_69ef355998e08190bdff849e8f33adce completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6640168948190811bd5f933a87cf5 completed May 2, 2026, 8:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a126298a0e88190a384ab730f6529c0 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a126339b9188190b9db303b56ef1ab0 completed May 24, 2026, 2:32 a.m.
NED2 Entity disambiguation (via description) batch_6a1263ae66e081908ccdb3a5dd5ee9b5 completed May 24, 2026, 2:34 a.m.
PD Predicate disambiguation batch_69f6633451948190bcc0410602bb4914 completed May 2, 2026, 8:48 p.m.
Created at: April 27, 2026, 11:07 a.m.