Triple

T717361
Position Surface form Disambiguated ID Type / Status
Subject Occitanie E14341 entity
Predicate containsCity P294 FINISHED
Object Aude
Aude is a department in southern France known for its historic Cathar castles, medieval city of Carcassonne, and Mediterranean coastline.
 E88276 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: Aude | Statement: [Occitanie, containsCity, Aude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aude
Context triple: [Occitanie, containsCity, Aude]
  • A. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • B. Audenarde
    Audenarde (Oudenaarde) is a historic city in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Volnay
    Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
  • D. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • E. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • 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: Aude
Triple: [Occitanie, containsCity, Aude]
Generated description
Aude is a department in southern France known for its historic Cathar castles, medieval city of Carcassonne, and Mediterranean coastline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aude
Target entity description: Aude is a department in southern France known for its historic Cathar castles, medieval city of Carcassonne, and Mediterranean coastline.
  • A. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • B. Audenarde
    Audenarde (Oudenaarde) is a historic city in East Flanders, Belgium, known for its medieval architecture, tapestry production, and role in early modern European conflicts.
  • C. Volnay
    Volnay is a renowned wine-producing village in Burgundy, France, celebrated for its elegant, aromatic red wines made primarily from Pinot Noir.
  • D. Amalie
    Amalie is the given first name of the pioneering German mathematician Emmy Noether, renowned for her foundational contributions to abstract algebra and theoretical physics.
  • E. Alba Regia
    Alba Regia is the historical Latin name of the Hungarian city of Székesfehérvár, a former royal seat and coronation site.
  • 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_69a4934a36e081909e7abef98b898a4e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a577658881909c12951d63d96377 completed March 1, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a64a5a7e788190b5ad2505b68ca48d completed March 3, 2026, 2:41 a.m.
NEDg Description generation batch_69a64e3c1eac8190a62e4b24b0715dc2 completed March 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69a64ec899ec8190b8d2916c5965fabc completed March 3, 2026, 3 a.m.
Created at: March 1, 2026, 7:37 p.m.