Triple

T1756349
Position Surface form Disambiguated ID Type / Status
Subject Northern Germany E38556 entity
Predicate hasPort P35 FINISHED
Object Port of Bremerhaven E177141 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: Port of Bremerhaven | Statement: [Northern Germany, hasPort, Port of Bremerhaven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port of Bremerhaven
Context triple: [Northern Germany, hasPort, Port of Bremerhaven]
  • A. Port of Hamburg
    The Port of Hamburg is Germany’s largest seaport and a major European logistics hub, known as the country’s “Gateway to the World.”
  • B. Bremerhaven chosen
    Bremerhaven is a major German port city on the North Sea, known for its maritime industry, shipbuilding, and role as a key hub for trade and logistics.
  • C. Port of Copenhagen
    The Port of Copenhagen is a major Danish seaport serving as a key hub for maritime trade, passenger ferries, and cruise traffic in the Baltic Sea region.
  • D. Port of Szczecin
    The Port of Szczecin is a major Polish seaport on the Oder River near the Baltic Sea, serving as an important hub for maritime trade and inland waterway transport in northwestern Poland.
  • E. Port of Holland
    Port of Holland is a commercial and industrial harbor facility in Holland, Michigan, serving as a key shipping and logistics hub for the West Michigan region.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa643b623081908064be75758ec5de completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4db1c48190a96f137db3e2f32c completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.