Triple

T13847118
Position Surface form Disambiguated ID Type / Status
Subject Travemünde E332834 entity
Predicate hasMarina P3007 FINISHED
Object yacht harbor Travemünde 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: yacht harbor Travemünde | Statement: [Travemünde, hasMarina, yacht harbor Travemünde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: yacht harbor Travemünde
Context triple: [Travemünde, hasMarina, yacht harbor Travemünde]
  • 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. Göhren marina
    Göhren marina is a small recreational harbor and docking facility serving leisure boats and tourists in the seaside resort of Göhren on the island of Rügen in Germany.
  • C. Teepott Warnemünde
    Teepott Warnemünde is a distinctive, modernist seaside restaurant and landmark building on the Baltic coast in the Warnemünde district of Rostock, Germany.
  • D. 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.
  • E. Tegeler Hafen
    Tegeler Hafen is a harbor area in Berlin’s Tegel district, known for its waterfront promenade, residential developments, and leisure boating on Lake Tegel.
  • 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.