Triple

T9004964
Position Surface form Disambiguated ID Type / Status
Subject Mühldorf am Inn E215119 entity
Predicate locatedNear P294 FINISHED
Object Altötting E248665 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: Altötting | Statement: [Mühldorf am Inn, locatedNear, Altötting]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Altötting
Context triple: [Mühldorf am Inn, locatedNear, Altötting]
  • A. Altötting chosen
    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.
  • B. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • C. Schneizlreuth
    Schneizlreuth is a small Bavarian municipality in southeastern Germany, known for its alpine landscapes and location near the Austrian border.
  • D. Ötlingen
    Ötlingen is a village-like district of the town of Weil am Rhein in the southwestern German state of Baden-Württemberg, near the borders with France and Switzerland.
  • E. Rottach-Egern
    Rottach-Egern is a Bavarian resort town in southern Germany known for its picturesque setting on the shores of Lake Tegernsee and its alpine surroundings.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc695afa34819086cf6fcce2997b5f completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23c6f38ac8190a652575b8dc2fd45 completed April 5, 2026, 10:41 a.m.
Created at: March 30, 2026, 7:05 p.m.