Triple

T910559
Position Surface form Disambiguated ID Type / Status
Subject Liechtenstein E19647 entity
Predicate capital P234 FINISHED
Object Vaduz
Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
 E110866 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: Vaduz | Statement: [Liechtenstein, capital, Vaduz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vaduz
Context triple: [Liechtenstein, capital, Vaduz]
  • A. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • B. Zermatt
    Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
  • C. Biel/Bienne
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • D. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • E. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • 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: Vaduz
Triple: [Liechtenstein, capital, Vaduz]
Generated description
Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vaduz
Target entity description: Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
  • A. Solothurn
    Solothurn is a canton in northwestern Switzerland known for its historic baroque town of the same name and its location along the Aare River.
  • B. Zermatt
    Zermatt is a renowned Swiss alpine resort village in the canton of Valais, famous for its skiing, mountaineering, and proximity to iconic peaks like the Matterhorn.
  • C. Biel/Bienne
    Biel/Bienne is a bilingual (German-French) Swiss city in the canton of Bern, known for its watchmaking industry and location at the eastern end of Lake Biel.
  • D. Neuchâtel
    Neuchâtel is a French-speaking canton in western Switzerland known for its lakeside capital, watchmaking industry, and historic architecture.
  • E. Fribourg
    Fribourg is a bilingual Swiss canton in western Switzerland known for its medieval capital city and location at the cultural boundary between French- and German-speaking regions.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2dca5208190bc9f17cd9dd6a98f completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d6781081908a59c0263515bbc8 completed March 4, 2026, 12:34 p.m.
NEDg Description generation batch_69a834246eec8190977b2d3747fa1e9d completed March 4, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69a834a0e6748190aa1c488a46f35df2 completed March 4, 2026, 1:33 p.m.
Created at: March 1, 2026, 7:39 p.m.