Triple

T18846976
Position Surface form Disambiguated ID Type / Status
Subject Flensburg E460941 entity
Predicate hasHarbor P3007 FINISHED
Object Flensburg harbor NE NERFINISHED

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: Flensburg harbor | Statement: [Flensburg, hasHarbor, Flensburg harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flensburg harbor
Context triple: [Flensburg, hasHarbor, Flensburg harbor]
  • A. Port of Flensburg chosen
    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.
  • B. 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.
  • C. Schleswig harbor
    Schleswig harbor is a small historic port and marina in the town of Schleswig on the Schlei inlet in northern Germany.
  • D. Lübeck seaport
    Lübeck seaport is a major Baltic Sea harbor in northern Germany that serves as an important hub for maritime trade and ferry connections between Central Europe and Scandinavia.
  • E. Rostock city harbour
    Rostock city harbour is a historic Baltic Sea port in northern Germany that serves as a central hub for maritime events, tourism, and shipping.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8efafdc81909608b8a47deeaa8e completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.