Triple

T14771966
Position Surface form Disambiguated ID Type / Status
Subject Munich–Salzburg railway E347155 entity
Predicate majorStation P1071 FINISHED
Object Freilassing E693073 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: Freilassing | Statement: [Munich–Salzburg railway, majorStation, Freilassing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freilassing
Context triple: [Munich–Salzburg railway, majorStation, 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. Mittersill
    Mittersill is a small town in the Austrian state of Salzburg, known for its Alpine setting in the Hohe Tauern region.
  • 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. Reichenhall
    Reichenhall is a Bavarian spa town in southeastern Germany, renowned for its salt springs and alpine 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec81485e08190be35baafcf22b6f2 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bc5532881909f3bab83dca8f295 completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 1:31 a.m.