Triple

T14195292
Position Surface form Disambiguated ID Type / Status
Subject Western Area E351819 entity
Predicate hasRoadConnection P385 FINISHED
Object Bo
Bo is the second-largest city in Sierra Leone and a major economic and educational center in the country's Southern Province.
 E1084866 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: Bo | Statement: [Western Area, hasRoadConnection, Bo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bo
Context triple: [Western Area, hasRoadConnection, Bo]
  • A. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • B. Bo
    Bo was the Portuguese Water Dog who served as one of the Obama family's beloved First Pets during Barack Obama's presidency.
  • C. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • D. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • E. Bo
    Bo is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • 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: Bo
Triple: [Western Area, hasRoadConnection, Bo]
Generated description
Bo is the second-largest city in Sierra Leone and a major economic and educational center in the country's Southern Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bo
Target entity description: Bo is the second-largest city in Sierra Leone and a major economic and educational center in the country's Southern Province.
  • A. Bo
    Bo was the early capital city of the Shang dynasty in ancient China, serving as a major political and cultural center.
  • B. Bo
    Bo was an extinct indigenous language of the Great Andamanese people, once spoken in the Andaman Islands of India.
  • C. Bo
    Bo is a masculine given name commonly used in Scandinavian countries and parts of Europe.
  • D. Bo
    Bo is the widely used nickname of Bo Jackson, the legendary American multi-sport athlete who excelled in both professional baseball and football.
  • E. Bo
    Bo is the widely known nickname of legendary American college football coach Bo Schembechler, famed for his long tenure at the University of Michigan.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd194b32d88190aa74eef576152db3 completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1ab3f83881908113259c23fe1028 completed May 7, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fd1b87a0c48190a68367525ed9d2cb completed May 7, 2026, 11:08 p.m.
Created at: April 10, 2026, 1:04 a.m.