Triple

T11690319
Position Surface form Disambiguated ID Type / Status
Subject Altötting district E277850 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Neuötting E229125 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: Neuötting | Statement: [Altötting district, containsAdministrativeTerritorialEntity, Neuötting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neuötting
Context triple: [Altötting district, containsAdministrativeTerritorialEntity, Neuötting]
  • A. Neuötting chosen
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • B. 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.
  • C. Traunreut
    Traunreut is a Bavarian town in southeastern Germany known for its industrial base and proximity to the Alpine foothills and Chiemsee lake.
  • D. Schneizlreuth
    Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
  • E. Schärding
    Schärding is a historic Austrian town on the border with Germany, known for its well-preserved baroque old town and riverside setting.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a478f4c481908b2ba7b70972590d completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f5f631efb4819096ad6ee0c87fa7a7 completed May 2, 2026, 1:03 p.m.
Created at: April 8, 2026, 9:40 p.m.