Triple

T9630570
Position Surface form Disambiguated ID Type / Status
Subject Hamburg Dungeon E232792 entity
Predicate locatedInArea P40 FINISHED
Object Speicherstadt E812029 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: Speicherstadt | Statement: [Hamburg Dungeon, locatedInArea, Speicherstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Speicherstadt
Context triple: [Hamburg Dungeon, locatedInArea, Speicherstadt]
  • A. Speicherstadt chosen
    Speicherstadt is a historic warehouse district in Hamburg, Germany, renowned for its red-brick Gothic architecture and network of canals, and is recognized as a UNESCO World Heritage Site.
  • B. Quadratestadt
    Quadratestadt is the German nickname for the city of Mannheim, referring to its distinctive grid-like layout of city blocks.
  • C. Innere Stadt
    Innere Stadt is the historic first district and city center of Vienna, Austria, known for its medieval street layout, grand boulevards, and concentration of major cultural and political landmarks.
  • D. Dinkelscherben
    Dinkelscherben is a municipality in the Swabian region of Bavaria in southern Germany.
  • E. Siemensstadt
    Siemensstadt is a Berlin neighborhood historically shaped by the Siemens industrial works and noted for its early 20th-century modernist housing developments.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d189f7ea448190b9fe123589a9f3c5 completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:11 p.m.