Triple

T2182948
Position Surface form Disambiguated ID Type / Status
Subject Chêne-Bougeries E49085 entity
Predicate hasTwinTown P919 FINISHED
Object Carouge (Sardinia)
Carouge (Sardinia) is a municipality in the Sardinia region of Italy.
E243269 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: Carouge (Sardinia) | Statement: [Chêne-Bougeries, hasTwinTown, Carouge (Sardinia)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carouge (Sardinia)
Context triple: [Chêne-Bougeries, hasTwinTown, Carouge (Sardinia)]
  • A. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • B. Menaggio
    Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
  • C. Cologny
    Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
  • D. Cluses
    Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
  • E. Coppet
    Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
  • 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: Carouge (Sardinia)
Triple: [Chêne-Bougeries, hasTwinTown, Carouge (Sardinia)]
Generated description
Carouge (Sardinia) is a municipality in the Sardinia region of Italy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Carouge (Sardinia)
Target entity description: Carouge (Sardinia) is a municipality in the Sardinia region of Italy.
  • A. Baveno
    Baveno is a picturesque lakeside town in northern Italy, known for its scenic views of Lake Maggiore and its historic villas and churches.
  • B. Menaggio
    Menaggio is a picturesque resort town in northern Italy known for its scenic location on the western shore of Lake Como and its historic lakeside promenade.
  • C. Cologny
    Cologny is an affluent municipality on the shores of Lake Geneva in Switzerland, known for its scenic views and as the home of the World Economic Forum’s headquarters.
  • D. Cluses
    Cluses is a small industrial town in southeastern France known for its precision engineering and watchmaking heritage, located in the Arve Valley of the Haute-Savoie department in the Alps.
  • E. Coppet
    Coppet is a Swiss lakeside town on Lake Geneva in the canton of Vaud, known for its historic château and role as a regional transport hub.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf0d551881909d7f907378e1b2b7 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da786e48190896cae8fdcee3d83 completed March 9, 2026, 5:41 a.m.
NEDg Description generation batch_69ae5e30a69c8190a3f77e784401f671 completed March 9, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae5ea7909c8190a93d87a5d07b84d4 completed March 9, 2026, 5:46 a.m.
Created at: March 4, 2026, 7:45 p.m.