Triple

T2873375
Position Surface form Disambiguated ID Type / Status
Subject Rostock E56817 entity
Predicate hasPart P35 FINISHED
Object Rostock seaport E56817 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: Rostock seaport | Statement: [Rostock, hasPart, Rostock seaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rostock seaport
Context triple: [Rostock, hasPart, Rostock seaport]
  • A. Port of Kiel
    The Port of Kiel is a major Baltic Sea seaport and ferry hub known for passenger and cargo traffic, particularly on routes between Germany and Scandinavia and the Baltic states.
  • B. 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.
  • C. Stralsund
    Stralsund is a historic Hanseatic port city on Germany’s Baltic Sea coast, known for its well-preserved medieval old town and brick Gothic architecture.
  • D. Rostock chosen
    Rostock is a historic Hanseatic city in northern Germany known for its significant seaport on the Baltic Sea and its long maritime and trading tradition.
  • E. Itzehoe
    Itzehoe is a historic town in northern Germany known for its medieval origins and role as a regional center in the state of Schleswig-Holstein.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abdfe59ef88190b8bdfdd03e8965f3 completed March 7, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db40e388190a208fe58e2ed6029 completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:03 p.m.