Triple

T10603587
Position Surface form Disambiguated ID Type / Status
Subject Usedomer Bäderbahn railway E275813 entity
Predicate terminus P388 FINISHED
Object Züssow E891549 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: Züssow | Statement: [Usedomer Bäderbahn railway, terminus, Züssow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Züssow
Context triple: [Usedomer Bäderbahn railway, terminus, Züssow]
  • A. Züssow chosen
    Züssow is a small railway junction village in northeastern Germany that serves as a key transfer point between regional trains and the Usedomer Bäderbahn line to the Baltic Sea island of Usedom.
  • B. Prenzlau
    Prenzlau is a historic town in northeastern Germany’s Brandenburg region, known for its medieval architecture and role as a regional administrative center.
  • C. Retzow
    Retzow is a small municipality in the Havelland district of the federal state of Brandenburg in northeastern Germany.
  • D. Claußnitz
    Claußnitz is a small municipality in the German state of Saxony, known for its rural character and location within central Saxony.
  • E. Augustdorf
    Augustdorf is a municipality in North Rhine-Westphalia, Germany, known for its proximity to the Teutoburg Forest and its significant military presence, including Bundeswehr facilities.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6ded6d698819084f96f46ea941461 completed April 8, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e215e3c3c88190833c1f56288629a2 completed April 17, 2026, 11:13 a.m.
Created at: April 8, 2026, 7:32 p.m.