Triple

T19154458
Position Surface form Disambiguated ID Type / Status
Subject Taishan E468895 entity
Predicate historicalRegion P915 FINISHED
Object Four Counties
Four Counties is a historical region in Guangdong, China, known as the ancestral homeland of many overseas Chinese communities, particularly in North America.
 E1360842 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: Four Counties | Statement: [Taishan, historicalRegion, Four Counties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Four Counties
Context triple: [Taishan, historicalRegion, Four Counties]
  • A. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • B. Rutland
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • C. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • D. Rutland
    Rutland is a small city in central Vermont known historically as a marble quarrying center and as a regional hub for commerce and outdoor recreation.
  • E. Cumberland
    Cumberland is a suburban town in northeastern Rhode Island known for its residential communities, historic mill villages, and proximity to Providence.
  • 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: Four Counties
Triple: [Taishan, historicalRegion, Four Counties]
Generated description
Four Counties is a historical region in Guangdong, China, known as the ancestral homeland of many overseas Chinese communities, particularly in North America.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Four Counties
Target entity description: Four Counties is a historical region in Guangdong, China, known as the ancestral homeland of many overseas Chinese communities, particularly in North America.
  • A. Rutland
    Rutland is an unincorporated community located in Bibb County, Georgia, United States.
  • B. Rutland
    Rutland is a small town in Worcester County, Massachusetts, known for its rural character and location near the geographic center of the state.
  • C. Rutland
    Rutland is a small city in central Vermont known historically as a marble quarrying center and as a regional hub for commerce and outdoor recreation.
  • D. Rutland
    Rutland is a small historic county in the East Midlands of England, known for its rural character and Rutland Water reservoir.
  • E. Cumberland
    Cumberland is a suburban town in northeastern Rhode Island known for its residential communities, historic mill villages, and proximity to Providence.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5eeb81bf08190b0352137eb4a5763 completed April 20, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f256821081908b69afd367040866 completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f303c4fc8190a9a972dd1561bc84 completed May 15, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4039ca881908679e5da604eea50 completed May 15, 2026, 10:22 a.m.
Created at: April 10, 2026, 12:06 p.m.