Triple

T13847092
Position Surface form Disambiguated ID Type / Status
Subject Travemünde E332834 entity
Predicate hasPort P35 FINISHED
Object Travemünde harbor E332834 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: Travemünde harbor | Statement: [Travemünde, hasPort, Travemünde harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Travemünde harbor
Context triple: [Travemünde, hasPort, Travemünde harbor]
  • A. Travemünde chosen
    Travemünde is a Baltic Sea resort town and seaside district of Lübeck in northern Germany, known for its beaches, harbor, and maritime tourism.
  • B. Port of Bremerhaven
    The Port of Bremerhaven is one of Europe’s major seaports and a key hub for container shipping and automobile exports on Germany’s North Sea coast.
  • C. Port of Cuxhaven
    The Port of Cuxhaven is a German seaport on the North Sea known as an important hub for offshore wind energy, RoRo traffic, and maritime logistics.
  • D. Port of Wilhelmshaven
    The Port of Wilhelmshaven is Germany’s only deep-water container port and a major North Sea harbor handling crude oil, containers, and naval operations.
  • E. Port of Sassnitz
    The Port of Sassnitz is a major German Baltic Sea harbor on the island of Rügen, serving as an important hub for ferry traffic, cargo handling, and maritime trade in northeastern Europe.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02b2a9788190b164760adec64ef6 completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0f189008190bb9afeef42564a33 completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.