Triple

T35749229
Position Surface form Disambiguated ID Type / Status
Subject Boos E1033270 entity
Predicate hasMayorTerm2020–2026 P74424 FINISHED
Object Laurent Grelaud
Laurent Grelaud is a French local politician serving as the mayor of the commune of Boos in Normandy.
 E2295097 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: Laurent Grelaud | Statement: [Boos, hasMayorTerm2020–2026, Laurent Grelaud]
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: Laurent Grelaud
Triple: [Boos, hasMayorTerm2020–2026, Laurent Grelaud]
Generated description
Laurent Grelaud is a French local politician serving as the mayor of the commune of Boos in Normandy.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMayorTerm2020–2026
Context triple: [Boos, hasMayorTerm2020–2026, Laurent Grelaud]
  • A. hasMayorTerm chosen
    Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
  • B. mayoralTermStart
    Indicates the date or point in time when an individual's tenure as mayor officially begins.
  • C. termEndAsMayor
    Indicates that an entity’s period of service in the role of mayor has concluded at a specified time or event.
  • D. numberOfTermsAsMayor
    Indicates the number of distinct terms an individual has served in the role of mayor.
  • E. mayorAppointment
    Indicates that one entity appoints or designates another entity to serve in the role of mayor.
  • 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_69f76e119d508190a3873cb302063832 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a02fb5ca96081908ff618f560011940 completed May 12, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7d04e6cf008190945c38935e3a9cac completed Aug. 12, 2026, 11:42 p.m.
NEDg Description generation batch_6a7d053c75908190ac55e7d2f810df3f completed Aug. 12, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a7d059224e48190b6b7a8a076347561 completed Aug. 12, 2026, 11:45 p.m.
PD Predicate disambiguation batch_6a02f9602b308190a97f81821e12b13f completed May 12, 2026, 9:56 a.m.
Created at: May 3, 2026, 4:06 p.m.