Triple

T8389547
Position Surface form Disambiguated ID Type / Status
Subject Dresden Castle E197906 entity
Predicate hasPart P35 FINISHED
Object Giant’s Hall
Giant’s Hall is a grand ceremonial hall within Dresden Castle, renowned for its impressive scale and historic role in courtly events and gatherings.
 E730177 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: Giant’s Hall | Statement: [Dresden Castle, hasPart, Giant’s Hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Giant’s Hall
Context triple: [Dresden Castle, hasPart, Giant’s Hall]
  • A. Skurla Hall
    Skurla Hall is an academic and research building on the Florida Institute of Technology campus that houses classrooms, laboratories, and faculty offices.
  • B. Maidenhall
    Maidenhall is a locality or small settlement situated within the county of Suffolk in eastern England.
  • C. Dungeon Ghyll
    Dungeon Ghyll is a small hamlet and popular starting point for fell walks in the Langdale Valley of England’s Lake District.
  • D. Red Castle
    Red Castle is a ruined medieval fortress overlooking Lunan Bay on the east coast of Scotland.
  • E. Gund Hall
    Gund Hall is the iconic main building of the Harvard Graduate School of Design, known for its distinctive modernist architecture and large open studio spaces.
  • 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: Giant’s Hall
Triple: [Dresden Castle, hasPart, Giant’s Hall]
Generated description
Giant’s Hall is a grand ceremonial hall within Dresden Castle, renowned for its impressive scale and historic role in courtly events and gatherings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Giant’s Hall
Target entity description: Giant’s Hall is a grand ceremonial hall within Dresden Castle, renowned for its impressive scale and historic role in courtly events and gatherings.
  • A. Skurla Hall
    Skurla Hall is an academic and research building on the Florida Institute of Technology campus that houses classrooms, laboratories, and faculty offices.
  • B. Maidenhall
    Maidenhall is a locality or small settlement situated within the county of Suffolk in eastern England.
  • C. Dungeon Ghyll
    Dungeon Ghyll is a small hamlet and popular starting point for fell walks in the Langdale Valley of England’s Lake District.
  • D. Red Castle
    Red Castle is a ruined medieval fortress overlooking Lunan Bay on the east coast of Scotland.
  • E. Gund Hall
    Gund Hall is the iconic main building of the Harvard Graduate School of Design, known for its distinctive modernist architecture and large open studio spaces.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810ac380819095bd67f0555ac2a8 completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84427dc8190925150b5d52bc9a0 completed April 2, 2026, 3:53 a.m.
NEDg Description generation batch_69cdebfafe84819097f387318897dae1 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cded2a9c2c8190bdbeddad562ef9e8 completed April 2, 2026, 4:14 a.m.
Created at: March 30, 2026, 6:03 p.m.