Triple

T14933856
Position Surface form Disambiguated ID Type / Status
Subject Olsztyn E372338 entity
Predicate hasLandmark P105 FINISHED
Object Old Town Hall
Old Town Hall is a historic municipal building in Olsztyn, Poland, known for its preserved architecture and role as a cultural and civic landmark in the city’s old town.
E1128848 NE FINISHED

How this triple was built (4 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: [Olsztyn, hasLandmark, Old Town Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Town Hall
Context triple: [Olsztyn, hasLandmark, 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
    Old Town Hall is a historic municipal building and architectural landmark in the Slovak mining town of Banská Štiavnica.
  • E. Old Town Hall
    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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Old Town Hall
Triple: [Olsztyn, hasLandmark, Old Town Hall]
Generated description
Old Town Hall is a historic municipal building in Olsztyn, Poland, known for its preserved architecture and role as a cultural and civic landmark in the city’s old town.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Old Town Hall
Target entity description: Old Town Hall is a historic municipal building in Olsztyn, Poland, known for its preserved architecture and role as a cultural and civic landmark in the city’s old town.
  • 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 architectural landmark in the Slovak mining town of Banská Štiavnica.
  • D. Old Town Hall
    Old Town Hall is a historic municipal building and prominent architectural landmark located in the Czech town of Trutnov.
  • E. Old Town Hall
    Old Town Hall is a historic municipal building and notable landmark in the town of Norden, Germany.
  • F. None of above. chosen

Provenance (5 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded646a0808190ba5c0c91bde011c5 completed April 15, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e8c8d188190b027f14256b0ce01 completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe7ff5c84c8190b3e97f09633bf181 completed May 9, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_69fe80be100481908dcf07b683fc1411 completed May 9, 2026, 12:33 a.m.
Created at: April 10, 2026, 2:37 a.m.