Triple

T24473805
Position Surface form Disambiguated ID Type / Status
Subject Quimper faience E617172 entity
Predicate notableWorkshop P156240 FINISHED
Object Henriot Quimper
Henriot Quimper is a historic French faience pottery workshop in Quimper, Brittany, renowned for its traditional hand-painted earthenware and Breton folk motifs.
 E1636737 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: Henriot Quimper | Statement: [Quimper faience, notableWorkshop, Henriot Quimper]
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: Henriot Quimper
Triple: [Quimper faience, notableWorkshop, Henriot Quimper]
Generated description
Henriot Quimper is a historic French faience pottery workshop in Quimper, Brittany, renowned for its traditional hand-painted earthenware and Breton folk motifs.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableWorkshop
Context triple: [Quimper faience, notableWorkshop, Henriot Quimper]
  • A. workshopInTitleIndicates
    Indicates that the presence of the word "workshop" in a title signifies that the associated event, session, or item is a workshop.
  • B. workshopMark
    Indicates that an entity has been designated, labeled, or flagged in the context of a workshop-related process or activity.
  • C. hasWorkshopsAt
    Indicates that an entity conducts, hosts, or offers workshops at a specified location or venue.
  • D. notableStudentWork
    Indicates that the subject has a student whose work is particularly notable or significant in relation to the subject.
  • E. hasWorkshops
    Indicates that one entity offers, hosts, or is associated with one or more workshops for another entity.
  • F. None of above. chosen

Provenance (7 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_69e2d7f197588190889a03e620558059 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f299457ce081909e8d95fd482928dc completed April 29, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fe39439b88190ae6a6164f01584e8 completed May 22, 2026, 5:03 a.m.
NEDg Description generation batch_6a0fe47cbaf881909fbc9d3f0d2e99c1 completed May 22, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_6a0fe523e5648190bde36809c67adb54 completed May 22, 2026, 5:09 a.m.
PD Predicate disambiguation batch_69f287d76c7c81909494f12e606a9149 completed April 29, 2026, 10:36 p.m.
PDg Predicate description generation batch_69f28f4d978c81908310c01def2514cc completed April 29, 2026, 11:07 p.m.
Created at: April 18, 2026, 2:20 a.m.