Triple

T3318821
Position Surface form Disambiguated ID Type / Status
Subject South Gloucestershire E69742 entity
Predicate contains P35 FINISHED
Object Siston
Siston is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings such as Siston Court.
 E345948 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: Siston | Statement: [South Gloucestershire, contains, Siston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Siston
Context triple: [South Gloucestershire, contains, Siston]
  • A. Sunoho
    Sunoho was one of the children of Massasoit, the influential Wampanoag leader who forged early alliances with the Plymouth colonists in 17th-century New England.
  • B. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • E. Sharston
    Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
  • 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: Siston
Triple: [South Gloucestershire, contains, Siston]
Generated description
Siston is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings such as Siston Court.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Siston
Target entity description: Siston is a small village and civil parish in South Gloucestershire, England, known for its rural character and historic buildings such as Siston Court.
  • A. Sunoho
    Sunoho was one of the children of Massasoit, the influential Wampanoag leader who forged early alliances with the Plymouth colonists in 17th-century New England.
  • B. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • C. Suhre
    The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
  • D. Corrsin
    Corrsin is a surname most notably associated with Stanley Corrsin, an influential American fluid dynamicist known for his work on turbulence.
  • E. Sharston
    Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
  • 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_69ad85a0bb048190a5458d2738012d61 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1151f3c8190911af4edac701116 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f40055a48190afe401a488d3ae34 completed March 12, 2026, 5:12 p.m.
NEDg Description generation batch_69b2fa0f9c348190a1d48003b96761a9 completed March 12, 2026, 5:38 p.m.
NED2 Entity disambiguation (via description) batch_69b3094548788190aac61165a982e5e9 completed March 12, 2026, 6:43 p.m.
Created at: March 8, 2026, 3:11 p.m.