Triple

T11849221
Position Surface form Disambiguated ID Type / Status
Subject Dieppe, New Brunswick E281863 entity
Predicate hasEducationalInstitution P113 FINISHED
Object École Mathieu-Martin
École Mathieu-Martin is a French-language high school serving the Francophone community in Dieppe, New Brunswick.
 E949433 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: École Mathieu-Martin | Statement: [Dieppe, New Brunswick, hasEducationalInstitution, École Mathieu-Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: École Mathieu-Martin
Context triple: [Dieppe, New Brunswick, hasEducationalInstitution, École Mathieu-Martin]
  • A. Collège Sainte-Barbe
    Collège Sainte-Barbe is a historic Parisian educational institution renowned for having educated prominent figures such as engineer Gustave Eiffel.
  • B. École Sainte-Croix
    École Sainte-Croix is a Catholic educational institution in Haiti affiliated with the Diocese of Haiti.
  • C. École Alsacienne
    École Alsacienne is a prestigious private school in Paris known for its rigorous academics and progressive educational approach.
  • D. Collège Sévigné
    Collège Sévigné is a private, progressive secondary school in Paris known for its strong academic tradition and notable alumni.
  • E. École Sainte-Catherine
    École Sainte-Catherine is a local educational institution serving students in the community of Pain Court, Ontario.
  • 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: École Mathieu-Martin
Triple: [Dieppe, New Brunswick, hasEducationalInstitution, École Mathieu-Martin]
Generated description
École Mathieu-Martin is a French-language high school serving the Francophone community in Dieppe, New Brunswick.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: École Mathieu-Martin
Target entity description: École Mathieu-Martin is a French-language high school serving the Francophone community in Dieppe, New Brunswick.
  • A. Collège Sainte-Barbe
    Collège Sainte-Barbe is a historic Parisian educational institution renowned for having educated prominent figures such as engineer Gustave Eiffel.
  • B. École Sainte-Croix
    École Sainte-Croix is a Catholic educational institution in Haiti affiliated with the Diocese of Haiti.
  • C. École Alsacienne
    École Alsacienne is a prestigious private school in Paris known for its rigorous academics and progressive educational approach.
  • D. Collège Sévigné
    Collège Sévigné is a private, progressive secondary school in Paris known for its strong academic tradition and notable alumni.
  • E. École Sainte-Catherine
    École Sainte-Catherine is a local educational institution serving students in the community of Pain Court, Ontario.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a65db52c8190a218736da17d0153 completed April 10, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f167b947d48190a07da6f5255d289a completed April 29, 2026, 2:06 a.m.
NEDg Description generation batch_69f17005c318819090e54bc64d135477 completed April 29, 2026, 2:42 a.m.
NED2 Entity disambiguation (via description) batch_69f17814de1881908973af026af5d1d1 completed April 29, 2026, 3:16 a.m.
Created at: April 8, 2026, 9:43 p.m.