Triple

T9495108
Position Surface form Disambiguated ID Type / Status
Subject Eckernförde E228983 entity
Predicate hasHarbor P3007 FINISHED
Object Eckernförde harbor E228983 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: Eckernförde harbor | Statement: [Eckernförde, hasHarbor, Eckernförde harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eckernförde harbor
Context triple: [Eckernförde, hasHarbor, Eckernförde harbor]
  • A. Eckernförde chosen
    Eckernförde is a coastal town in northern Germany known for its Baltic Sea beaches, historic harbor, and maritime tourism.
  • B. Frederikshavn Harbour
    Frederikshavn Harbour is a major commercial and ferry port in the town of Frederikshavn in northern Denmark, serving as an important maritime hub for traffic across the Kattegat and to Norway and Sweden.
  • C. Korsør Harbour
    Korsør Harbour is a Danish port on the Great Belt known historically as a strategic maritime hub and naval base area.
  • D. Aabenraa harbor
    Aabenraa harbor is a key maritime port in the Danish town of Aabenraa, known for its commercial shipping activities and role in the region’s coastal trade.
  • E. Port of Flensburg
    The Port of Flensburg is a small commercial and ferry harbor on the Flensburg Fjord near the German-Danish border, serving regional maritime trade and tourism.
  • 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_69ca84753660819098e8d416e89e26ae completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd95ea4a04819092c7842361c6296e completed April 1, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d34967881909980be6f1be80885 completed April 4, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:56 p.m.