Triple

T1848320
Position Surface form Disambiguated ID Type / Status
Subject Hohenschwangau Castle E41333 entity
Predicate region P40 FINISHED
Object Allgäu E209089 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: Allgäu | Statement: [Hohenschwangau Castle, region, Allgäu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Allgäu
Context triple: [Hohenschwangau Castle, region, Allgäu]
  • A. Allgäu region chosen
    The Allgäu region is a picturesque area in southern Germany known for its alpine landscapes, traditional Bavarian culture, and famous fairy-tale castles.
  • B. Ötztal
    Ötztal is a prominent alpine valley in western Austria known for its dramatic mountain scenery, ski resorts, and outdoor recreation opportunities.
  • C. Ostallgäu
    Ostallgäu is a rural district in the Bavarian Alps of southern Germany, known for its picturesque landscapes and historic castles.
  • D. Flachgau
    Flachgau is a district in the Austrian state of Salzburg, known for its picturesque Alpine landscapes and proximity to the city of Salzburg.
  • E. Carinthia
    Carinthia is a mountainous federal state in southern Austria known for its Alpine landscapes, lakes, and outdoor tourism.
  • 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb05412a08190855ea453d1264ea3 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfba141fc819084cf5903eced2326 completed March 8, 2026, 10:43 p.m.
Created at: March 4, 2026, 7:33 p.m.