Triple

T4539142
Position Surface form Disambiguated ID Type / Status
Subject Landtag of Liechtenstein E107483 entity
Predicate capitalCity P204 FINISHED
Object Vaduz E110866 NE FINISHED

How this triple was built (2 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: [Landtag of Liechtenstein, capitalCity, Vaduz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaduz
Context triple: [Landtag of Liechtenstein, capitalCity, Vaduz]
  • A. Vaduz chosen
    Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
  • B. Chur
    Chur is the oldest town in Switzerland and the capital of the canton of Graubünden, known for its historic old town and role as a gateway to the Alps.
  • C. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • D. Bregenz
    Bregenz is an Austrian city on the eastern shore of Lake Constance, known for its lakeside setting, cultural festivals, and contemporary art and architecture.
  • E. Olten
    Olten is a town in the canton of Solothurn in northwestern Switzerland, known as an important railway junction and regional economic center.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57ba327c8190a7f12e14077b1fa7 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdb91e51988190aee638cc21c6cf54 completed March 20, 2026, 9:16 p.m.
Created at: March 20, 2026, 1:04 p.m.