Triple

T8662457
Position Surface form Disambiguated ID Type / Status
Subject Port of Kiel E205579 entity
Predicate hasTerminal P182 FINISHED
Object Bahnhofsbrücke E542779 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: Bahnhofsbrücke | Statement: [Port of Kiel, hasTerminal, Bahnhofsbrücke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bahnhofsbrücke
Context triple: [Port of Kiel, hasTerminal, Bahnhofsbrücke]
  • A. Bahnhofbrücke chosen
    Bahnhofbrücke is a central bridge in Zurich that connects the main railway station area with the city’s inner districts across the Limmat River.
  • B. Hardbrücke
    Hardbrücke is a major road and railway bridge in Zurich, Switzerland, serving as an important traffic artery across the Limmat and nearby rail tracks.
  • C. Mühlendamm bridge
    The Mühlendamm Bridge is a historic bridge in central Berlin that spans the Spree River, connecting key parts of the city’s old town area.
  • D. Julius-Leber-Brücke bridge
    Julius-Leber-Brücke bridge is a railway overpass in Berlin, Germany, known for carrying train tracks over city streets in the Schöneberg district.
  • E. Karl-Theodor-Brücke
    Karl-Theodor-Brücke is the official name of Heidelberg’s historic Old Bridge, a famous stone arch bridge spanning the Neckar River in Germany.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4872a190819087d679f3006bd030 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0518248190ba0d3a87d11dff86 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.