Triple

T1752210
Position Surface form Disambiguated ID Type / Status
Subject Brunswick, Georgia E38468 entity
Predicate hasSquare P7888 FINISHED
Object King Square
King Square is a public square located in the historic coastal city of Brunswick, Georgia.
E213993 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: King Square | Statement: [Brunswick, Georgia, hasSquare, King Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King Square
Context triple: [Brunswick, Georgia, hasSquare, King Square]
  • A. Queen’s Square
    Queen’s Square is a residential neighborhood within Belize City, Belize.
  • B. Trinity Square
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • C. Centenary Square
    Centenary Square is a major public square and civic space in central Birmingham, England, known for its prominent cultural and architectural landmarks.
  • D. Wright Square
    Wright Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • E. Prince Square
    Prince Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • 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: King Square
Triple: [Brunswick, Georgia, hasSquare, King Square]
Generated description
King Square is a public square located in the historic coastal city of Brunswick, Georgia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: King Square
Target entity description: King Square is a public square located in the historic coastal city of Brunswick, Georgia.
  • A. Queen’s Square
    Queen’s Square is a residential neighborhood within Belize City, Belize.
  • B. Trinity Square
    Trinity Square is a historic public square in the City of London, known for its memorials and proximity to the Tower of London.
  • C. Centenary Square
    Centenary Square is a major public square and civic space in central Birmingham, England, known for its prominent cultural and architectural landmarks.
  • D. Wright Square
    Wright Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • E. Prince Square
    Prince Square is a historic public square located in the coastal city of Brunswick, Georgia.
  • 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_69a8862bdb2081908aefe831c8aa8017 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa641432d88190ab4254cb4c3ad402 completed March 6, 2026, 5:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeacc64808190976d4a604d7762ea completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb503ec88190b8d0cb17bbb8f520 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adef13e030819086e9e8862198d859 completed March 8, 2026, 9:50 p.m.
Created at: March 4, 2026, 7:31 p.m.