Triple

T20483281
Position Surface form Disambiguated ID Type / Status
Subject Rupertiwinkel E502518 entity
Predicate containsSettlement P847 FINISHED
Object Freilassing 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: Freilassing | Statement: [Rupertiwinkel, containsSettlement, Freilassing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freilassing
Context triple: [Rupertiwinkel, containsSettlement, Freilassing]
  • A. Freilassing chosen
    Freilassing is a Bavarian town in southeastern Germany near the Austrian border, known as a key railway junction and gateway to the city of Salzburg.
  • B. Neuötting
    Neuötting is a small Bavarian town in southeastern Germany known for its historic town center and location near the Austrian border.
  • C. Imst
    Imst is a small alpine town in western Austria known for its scenic Tyrolean landscape and traditional culture.
  • D. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • E. 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.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b58c4b4819083d0ba2397dbfb0b completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.