Triple

T19264795
Position Surface form Disambiguated ID Type / Status
Subject Red House (Vaduz) E481742 entity
Predicate near P350 FINISHED
Object Vaduz city center 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 city center | Statement: [Red House (Vaduz), near, Vaduz city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vaduz city center
Context triple: [Red House (Vaduz), near, Vaduz city center]
  • A. Vaduz chosen
    Vaduz is the small alpine town that serves as the political and cultural center of the Principality of Liechtenstein.
  • B. Ruggell
    Ruggell is a northern Liechtenstein municipality known for its flat Rhine valley landscape and agricultural character.
  • C. 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.
  • D. Landquart
    Landquart is a river in eastern Switzerland that flows through the canton of Graubünden before joining the Alpine Rhine.
  • E. 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.
  • 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fb8ca2e88190baad3b6c199ee036 completed April 20, 2026, 10:10 a.m.
Created at: April 10, 2026, 1:29 p.m.