Triple

T9605286
Position Surface form Disambiguated ID Type / Status
Subject Fehmarn E231953 entity
Predicate ferryPort P15716 FINISHED
Object Puttgarden E783020 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: Puttgarden | Statement: [Fehmarn, ferryPort, Puttgarden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Puttgarden
Context triple: [Fehmarn, ferryPort, Puttgarden]
  • A. Puttgarden chosen
    Puttgarden is a small ferry port on the German island of Fehmarn that serves as a major maritime link between Germany and Denmark across the Fehmarn Belt.
  • B. Oldenburg
    Oldenburg is a historic university city in northwestern Germany known for its cultural heritage and role as a regional economic center.
  • C. Oldenburg
    Oldenburg is a historic European noble house that ruled various territories in Denmark, Norway, and northern Germany and provided numerous monarchs to several European thrones.
  • D. Olsberg
    Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
  • E. Borghorst
    Borghorst is a district of the German town Steinfurt in North Rhine-Westphalia, known historically for its textile industry and regional cultural heritage.
  • 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_69ca8484838c8190b2049199d22fef70 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a5e4a7c8190830b5ad9762ece46 completed April 1, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18220a2308190aac7380c98f23965 completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 8:08 p.m.