Triple

T13489370
Position Surface form Disambiguated ID Type / Status
Subject Bundesstraße 96 E318592 entity
Predicate terminusNorth P3375 FINISHED
Object Sassnitz E123342 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: Sassnitz | Statement: [Bundesstraße 96, terminusNorth, Sassnitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sassnitz
Context triple: [Bundesstraße 96, terminusNorth, Sassnitz]
  • A. Sassnitz chosen
    Sassnitz is a port town on the Baltic Sea coast of Germany, located on the island of Rügen and known as a gateway to nearby national parks and chalk cliffs.
  • B. Ueckermünde
    Ueckermünde is a small historic port town in northeastern Germany on the Szczecin Lagoon, known for its maritime heritage and access to the Baltic Sea.
  • C. Stolpmünde
    Stolpmünde is the former German name for the Baltic Sea port town now known as Ustka in northern Poland.
  • D. Ostseebad
    Ostseebad is a German designation for a seaside resort town on the Baltic Sea, recognized for its coastal tourism and spa facilities.
  • E. Lüchow
    Lüchow is a small historic town in Lower Saxony, Germany, known as an administrative and cultural center of the rural Wendland area.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3cbe2081908c6792362c67c8f1 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463b758c8190abc0dd2a049d751e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.