Triple

T21579442
Position Surface form Disambiguated ID Type / Status
Subject Saint Hedwig of Silesia E532485 entity
Predicate birthPlace P1 FINISHED
Object Andechs 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: Andechs | Statement: [Saint Hedwig of Silesia, birthPlace, Andechs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andechs
Context triple: [Saint Hedwig of Silesia, birthPlace, Andechs]
  • A. Andechs chosen
    Andechs is a Bavarian town best known for its historic Benedictine abbey and renowned monastic brewery that attract pilgrims and beer enthusiasts alike.
  • B. Chiemgau region
    The Chiemgau region is a picturesque area in southeastern Bavaria, Germany, known for its lakes, rolling Alpine foothills, and popular outdoor recreation opportunities.
  • C. Franconia
    Franconia is a historical region in northern Bavaria, Germany, known for its medieval towns, rich cultural heritage, and distinct Franconian identity within the German-speaking world.
  • D. Franconia
    Franconia is a suburban community in Fairfax County, Northern Virginia, known for its residential neighborhoods and proximity to Washington, D.C.
  • E. Tölzer Land
    Tölzer Land is a scenic tourist region in Upper Bavaria, Germany, known for its Alpine landscapes, traditional villages, and outdoor recreation opportunities.
  • 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_69e0c4618bec8190bcb0feb74568cbb1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeeb5b8118819095fd751a03fbe8e8 completed April 27, 2026, 4:51 a.m.
Created at: April 16, 2026, 6:31 p.m.