Triple

T21466176
Position Surface form Disambiguated ID Type / Status
Subject Danube River in Budapest E529598 entity
Predicate crossedBy P416 FINISHED
Object Margaret Bridge 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: Margaret Bridge | Statement: [Danube River in Budapest, crossedBy, Margaret Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Bridge
Context triple: [Danube River in Budapest, crossedBy, Margaret Bridge]
  • A. Margaret Bridge chosen
    Margaret Bridge is a historic arch bridge in Budapest that spans the Danube River, linking the Buda and Pest sides of the city and providing access to Margaret Island.
  • B. Ewen Bridge
    Ewen Bridge is a road bridge spanning the Hutt River in the Wellington region of New Zealand, serving as a key local transport link.
  • C. Sandfield Bridge
    Sandfield Bridge is a road bridge spanning the Gloucester and Sharpness Canal in Gloucestershire, England.
  • D. Folly Bridge
    Folly Bridge is a historic stone road bridge over the River Thames in Oxford, England, known for its distinctive arches and role as a key crossing near the city center.
  • E. Rea Bridge
    Rea Bridge is a bridge spanning the Gloucester and Sharpness Canal in Gloucestershire, England, serving as a crossing point for local road and foot traffic.
  • 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_69e0c458133481908ae8b41a12c4edec completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:09 p.m.