Triple

T2045112
Position Surface form Disambiguated ID Type / Status
Subject Lower Bavaria E45432 entity
Predicate containsCity P294 FINISHED
Object Dingolfing E230149 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: Dingolfing | Statement: [Lower Bavaria, containsCity, Dingolfing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dingolfing
Context triple: [Lower Bavaria, containsCity, Dingolfing]
  • A. Erding
    Erding is a Bavarian town northeast of Munich, best known for its historic center, Erdinger Weißbräu brewery, and large thermal spa complex.
  • B. Traunstein
    Traunstein is a town in southeastern Bavaria, Germany, known as a regional administrative and cultural center near the Chiemsee and the Alps.
  • C. Dingolfing-Landau chosen
    Dingolfing-Landau is a rural district in southeastern Bavaria, Germany, known for its automotive industry presence and location along the Isar River.
  • D. Altötting
    Altötting is a Bavarian pilgrimage town renowned as one of Germany’s most important Catholic shrines, centered around the Chapel of Grace and its venerated Black Madonna.
  • E. Rosenheim
    Rosenheim is a town in Upper Bavaria, Germany, known as a regional economic and transportation hub near the Alps.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9728f688190939d7c4df524f9b4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69bd677fd8a481909455b2a02830bcc6 completed March 20, 2026, 3:28 p.m.
Created at: March 4, 2026, 7:39 p.m.