Triple

T2076669
Position Surface form Disambiguated ID Type / Status
Subject Fribourg E44938 entity
Predicate isoCode P189 FINISHED
Object CH-FR
CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
 E230597 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: CH-FR | Statement: [Fribourg, isoCode, CH-FR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CH-FR
Context triple: [Fribourg, isoCode, CH-FR]
  • A. Romandy
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • B. France and Switzerland
    France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
  • C. Romandie
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • E. Alsace
    Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
  • 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: CH-FR
Triple: [Fribourg, isoCode, CH-FR]
Generated description
CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CH-FR
Target entity description: CH-FR is the ISO 3166-2 code designating the Swiss canton of Fribourg.
  • A. Romandy
    Romandy is the French-speaking western region of Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • B. France and Switzerland
    France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
  • C. Romandie
    Romandie is the French-speaking region of western Switzerland, encompassing cantons such as Geneva, Vaud, Neuchâtel, and Jura.
  • D. FR
    FR is the IATA airline designator used to identify Ryanair flights.
  • E. Alsace
    Alsace is a historical and cultural region in northeastern France known for its blend of French and German influences, picturesque villages, and renowned wines.
  • 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_69a88916c2b48190a5ca2e9b12cad3ed completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba2fa9c48190958826d5226544df completed March 7, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2734a0688190a43c9687af48d06d completed March 9, 2026, 1:49 a.m.
NEDg Description generation batch_69ae28155ec8819097741dcfd3d81110 completed March 9, 2026, 1:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae2889503c8190bc72e786c656edf3 completed March 9, 2026, 1:55 a.m.
Created at: March 4, 2026, 7:41 p.m.