Triple

T11745185
Position Surface form Disambiguated ID Type / Status
Subject Bielefeld E279260 entity
Predicate hasLandmark P105 FINISHED
Object Old Market Square E800444 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: Old Market Square | Statement: [Bielefeld, hasLandmark, Old Market Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Market Square
Context triple: [Bielefeld, hasLandmark, Old Market Square]
  • A. Old Market Square
    Old Market Square is the central public square and main civic space in Nottingham, England, known for hosting events, markets, and gatherings.
  • B. Old Market Square
    Old Market Square is the historic central plaza of Stralsund, Germany, known for its medieval Hanseatic architecture and prominent civic buildings.
  • C. Old Market Square
    Old Market Square is a historic central plaza in Magdeburg, Germany, known for its traditional architecture, civic buildings, and role as a focal point of urban life and events.
  • D. Old Market Square chosen
    Old Market Square is a historic central plaza in Herford, Germany, known for its traditional architecture and role as a focal point of civic and commercial life.
  • E. Old Market Square
    Old Market Square is the historic central plaza of Poznań, Poland, known for its colorful merchant houses, lively cafés, and role as the city’s main social and cultural hub.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f2a38c8190a682d8dae1ab9415 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.