Triple

T378188
Position Surface form Disambiguated ID Type / Status
Subject Harare E8616 entity
Predicate formerName P65 FINISHED
Object Salisbury
Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
 E59130 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: Salisbury | Statement: [Harare, formerName, Salisbury]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Salisbury
Context triple: [Harare, formerName, Salisbury]
  • A. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • B. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • C. Dover
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • D. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • E. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • 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: Salisbury
Triple: [Harare, formerName, Salisbury]
Generated description
Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Salisbury
Target entity description: Salisbury is the former colonial-era name of Zimbabwe’s capital city, now known as Harare.
  • A. Carlisle
    Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
  • B. Dover
    Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
  • C. Dover
    Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
  • D. Norfolk
    Norfolk is a county in the East of England known for its rural landscapes, historic market towns, and extensive coastline along the North Sea.
  • E. Portsmouth
    Portsmouth is a historic seaport city in southeastern New Hampshire known for its colonial-era architecture, maritime heritage, and vibrant cultural scene.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec2974988190a1d6316cbb5159c8 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a462f270448190af8765d4fc657fe4 completed March 1, 2026, 4:01 p.m.
NEDg Description generation batch_69a4637b98608190a5cf925f8c684d99 completed March 1, 2026, 4:04 p.m.
NED2 Entity disambiguation (via description) batch_69a463cd50ac8190a3928f4f89903df2 completed March 1, 2026, 4:05 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.