Triple

T8787943
Position Surface form Disambiguated ID Type / Status
Subject Maximilianeum E209088 entity
Predicate hasViewOf P854 FINISHED
Object river Isar E118598 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: river Isar | Statement: [Maximilianeum, hasViewOf, river Isar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: river Isar
Context triple: [Maximilianeum, hasViewOf, river Isar]
  • A. Isar River chosen
    The Isar River is a major river in Austria and Germany that flows through the Alps and the city of Munich before joining the Danube.
  • B. Neckar
    The Neckar is a significant river in southwestern Germany that flows through cities like Stuttgart and Heidelberg before joining the Rhine.
  • C. Alte Donau
    Alte Donau is a former branch of the Danube River in Vienna that now serves as a popular recreational lake for swimming, boating, and waterside leisure.
  • D. Salzach River
    The Salzach River is a major river in Austria and Germany that flows through the city of Salzburg and forms part of the border between the two countries.
  • E. Altmühl
    The Altmühl is a river in Bavaria, Germany, known for its slow meandering course through the Franconian countryside and its scenic valleys popular with hikers and cyclists.
  • 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_69ca836168108190bb43d3dc235c1f55 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f89a84c819085d4cfe4e6dfbda8 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f493f648190b0e9392f1abb44a1 completed April 3, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:43 p.m.