Triple

T17322798
Position Surface form Disambiguated ID Type / Status
Subject Liechtenstein nobility E420602 entity
Predicate hasCapital P204 FINISHED
Object Vaduz NE NERFINISHED

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: [Liechtenstein nobility, hasCapital, Vaduz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaduz
Context triple: [Liechtenstein nobility, hasCapital, 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. Balzers
    Balzers is a municipality in southern Liechtenstein known for its scenic Alpine setting and historic Gutenberg Castle.
  • D. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • E. Türnich
    Türnich is a district of the town of Kerpen in North Rhine-Westphalia, Germany, known as a residential area within the Cologne metropolitan region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d01e2c8190a358dace420d4575 completed April 19, 2026, 2:11 a.m.
Created at: April 10, 2026, 5:43 a.m.