Triple

T6468472
Position Surface form Disambiguated ID Type / Status
Subject Regensburg City Hall E142288 entity
Predicate hasPart P35 FINISHED
Object Old Town Hall E591022 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 Town Hall | Statement: [Regensburg City Hall, hasPart, Old Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Town Hall
Context triple: [Regensburg City Hall, hasPart, Old Town Hall]
  • A. Old Town Hall
    Old Town Hall is a historic municipal building in Sandown, New Hampshire, that once served as the town’s primary center for local government and community gatherings.
  • B. Old Town Hall chosen
    Old Town Hall is a historic medieval town hall complex in Regensburg, Germany, known for its Gothic architecture and former role as a seat of the Imperial Diet of the Holy Roman Empire.
  • C. Old Town Hall
    Old Town Hall is a historic medieval building complex in the center of Bratislava that now serves as a city museum and prominent architectural landmark.
  • D. Old Town Hall
    Old Town Hall is a historic civic building in downtown Salem, Massachusetts, known for its Federal-style architecture and role as a cultural and community gathering space.
  • E. New Town Hall
    New Town Hall is a grand historic city hall and landmark in Hanover, Germany, known for its distinctive domed architecture and panoramic viewing platform.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a1461f08190b75f97c0bb3b0be6 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bed24b881909ade4e5451153986 completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:49 p.m.