Triple

T18927339
Position Surface form Disambiguated ID Type / Status
Subject Klausen E463007 entity
Predicate isLocatedNear P350 FINISHED
Object Brixen 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: Brixen | Statement: [Klausen, isLocatedNear, Brixen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brixen
Context triple: [Klausen, isLocatedNear, Brixen]
  • A. Brixen chosen
    Brixen is a historic town in South Tyrol, northern Italy, known for its medieval architecture, Alpine setting, and role as a cultural and religious center in the region.
  • B. Kufstein
    Kufstein is a historic town in the Austrian state of Tyrol, known for its medieval fortress and picturesque setting in the Alps near the German border.
  • C. Brunico
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • D. Wörgl
    Wörgl is a small Austrian town in the state of Tyrol, known for its role in early 20th-century economic experiments with local currency and its location in the Inn Valley near major Alpine ski areas.
  • E. Dobbiaco
    Dobbiaco is a picturesque alpine town in northern Italy’s South Tyrol region, known as a gateway to the Dolomites and a popular destination for hiking, skiing, and cross-country skiing.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c9bc36588190ae9cc3b8abf8afd4 completed April 20, 2026, 6:37 a.m.
Created at: April 10, 2026, 11:59 a.m.