Triple

T1594279
Position Surface form Disambiguated ID Type / Status
Subject Havel E34243 entity
Predicate hasBridge P386 FINISHED
Object Glienicke Bridge E31341 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: Glienicke Bridge | Statement: [Havel, hasBridge, Glienicke Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glienicke Bridge
Context triple: [Havel, hasBridge, Glienicke Bridge]
  • A. Schlossbrücke
    Schlossbrücke is a historic bridge in central Berlin that spans the Spree River, connecting Unter den Linden with Museum Island near the Berlin Palace.
  • B. Glienicke Bridge, Berlin chosen
    Glienicke Bridge in Berlin is a historic span over the Havel River that became famous during the Cold War as a key site for high-profile prisoner exchanges between East and West.
  • C. Grunwald Bridge
    Grunwald Bridge is a historic suspension bridge in Wrocław, Poland, known for its distinctive steel structure and role as a key crossing over the Oder River.
  • D. Moltkebrücke
    Moltkebrücke is a historic stone arch bridge in central Berlin, Germany, known for its ornate sculptures and its location near the Reichstag over the River Spree.
  • E. Liteyny Bridge
    Liteyny Bridge is a major steel bascule bridge in Saint Petersburg, Russia, known for carrying traffic across the Neva River and for its role in the city's historic urban landscape.
  • 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_69a885fdcb9c819081ce6f0b8cd477dd completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9092aed308190a0198a0fb977a9e5 completed March 5, 2026, 4:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae02fd8f68819080a4b39ce3ad1198 completed March 8, 2026, 11:15 p.m.
Created at: March 4, 2026, 7:27 p.m.