Triple

T16563546
Position Surface form Disambiguated ID Type / Status
Subject Jan Hus Memorial E402398 entity
Predicate near P350 FINISHED
Object Old Town Hall E970555 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: [Jan Hus Memorial, near, Old Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Old Town Hall
Context triple: [Jan Hus Memorial, near, Old Town Hall]
  • A. Old Town Hall
    Old Town Hall is a historic municipal building and notable architectural landmark located in the city center of Koszalin, Poland.
  • B. Old Town Hall
    Old Town Hall is a historic municipal building in Thorn renowned for its architectural and cultural significance.
  • C. Old Town Hall
    Old Town Hall is a historic municipal building and prominent architectural landmark located in the Czech town of Trutnov.
  • D. Old Town Hall chosen
    Old Town Hall is a historic Gothic-Renaissance municipal building on Prague’s Old Town Square, famed for its medieval astronomical clock and role as a central landmark of the city.
  • E. 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.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576f757881909bfc6611361ed16d completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006edfe7f08190857fc6f66f3be9a0 completed May 10, 2026, 11:41 a.m.
Created at: April 10, 2026, 5:15 a.m.