Triple

T4480312
Position Surface form Disambiguated ID Type / Status
Subject Oudenarde E100113 entity
Predicate hasTwinning P919 FINISHED
Object Chamalières
Chamalières is a commune in central France, near Clermont-Ferrand, known historically as a spa town and for its residential character.
 E474134 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: Chamalières | Statement: [Oudenarde, hasTwinning, Chamalières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chamalières
Context triple: [Oudenarde, hasTwinning, Chamalières]
  • A. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • B. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • C. Meyzieu
    Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
  • D. Chapeauroux
    Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
  • E. Chalon-sur-Saône
    Chalon-sur-Saône is a historic city in eastern France’s Burgundy region, known as a former important river port and for its rich architectural and cultural heritage.
  • 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: Chamalières
Triple: [Oudenarde, hasTwinning, Chamalières]
Generated description
Chamalières is a commune in central France, near Clermont-Ferrand, known historically as a spa town and for its residential character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chamalières
Target entity description: Chamalières is a commune in central France, near Clermont-Ferrand, known historically as a spa town and for its residential character.
  • A. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • B. Chiroubles
    Chiroubles is a French appellation in the Beaujolais region known for producing light, aromatic red wines primarily from the Gamay grape.
  • C. Meyzieu
    Meyzieu is a suburban commune in eastern France, located near Lyon and known for its residential character and proximity to major transport links.
  • D. Chapeauroux
    Chapeauroux is a river in central France that flows through the Massif Central before joining the Allier.
  • E. Chalon-sur-Saône
    Chalon-sur-Saône is a historic city in eastern France’s Burgundy region, known as a former important river port and for its rich architectural and cultural heritage.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dcaba88190ae2d64c038450ca6 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69be5c70e6cc8190b447d3bd1f578aae completed March 21, 2026, 8:53 a.m.
NEDg Description generation batch_69be5eb7a20881909177feb6e969af6c completed March 21, 2026, 9:02 a.m.
NED2 Entity disambiguation (via description) batch_69be5f1646588190a8d81316fce477db completed March 21, 2026, 9:04 a.m.
Created at: March 12, 2026, 11:36 p.m.