Triple

T2006973
Position Surface form Disambiguated ID Type / Status
Subject Aube E43606 entity
Predicate contains P35 FINISHED
Object Bar-sur-Aube
Bar-sur-Aube is a historic commune in northeastern France known for its medieval heritage and location within the Champagne-producing region.
E227207 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: Bar-sur-Aube | Statement: [Aube, contains, Bar-sur-Aube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bar-sur-Aube
Context triple: [Aube, contains, Bar-sur-Aube]
  • A. Arcis-sur-Aube
    Arcis-sur-Aube is a small commune in northeastern France best known as the birthplace of French Revolutionary leader Georges Danton.
  • B. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • C. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • D. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • E. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • 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: Bar-sur-Aube
Triple: [Aube, contains, Bar-sur-Aube]
Generated description
Bar-sur-Aube is a historic commune in northeastern France known for its medieval heritage and location within the Champagne-producing region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bar-sur-Aube
Target entity description: Bar-sur-Aube is a historic commune in northeastern France known for its medieval heritage and location within the Champagne-producing region.
  • A. Arcis-sur-Aube
    Arcis-sur-Aube is a small commune in northeastern France best known as the birthplace of French Revolutionary leader Georges Danton.
  • B. Sully-sur-Loire
    Sully-sur-Loire is a historic commune in north-central France known for its medieval château overlooking the Loire River.
  • C. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • D. Blois
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • E. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8999e108190a07daa01452a5dab completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0adedd388190a09361c3e69a4ed5 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b76f0fc8190bb5f40689ee7f8fe completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c586bd88190ae23e84291d2fe81 completed March 8, 2026, 11:55 p.m.
Created at: March 4, 2026, 7:37 p.m.