Triple

T4439502
Position Surface form Disambiguated ID Type / Status
Subject Spelsbury E95734 entity
Predicate hasSettlement P1068 FINISHED
Object Taston
Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
 E439962 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: Taston | Statement: [Spelsbury, hasSettlement, Taston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Taston
Context triple: [Spelsbury, hasSettlement, Taston]
  • A. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • B. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • C. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • D. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • E. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • 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: Taston
Triple: [Spelsbury, hasSettlement, Taston]
Generated description
Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Taston
Target entity description: Taston is a small village in Oxfordshire, England, known for its historic rural character and traditional stone cottages.
  • A. Tiba
    Tiba is a modern planned city in Egypt’s Luxor Governorate, developed to accommodate population growth and support regional economic and urban expansion.
  • B. Toma
    Toma is a major Mande language spoken primarily in Guinea and neighboring West African countries.
  • C. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • D. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • E. Sapiston
    Sapiston is a small rural village located in the English county of Suffolk.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355aaa9288190b95d875d343d6ee5 completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6137b97748190b8ebecaf590baad3 completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b615aea38481908ffe37feadeb9a4b completed March 15, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b61601898c81908e108f475f4b35d3 completed March 15, 2026, 2:14 a.m.
Created at: March 12, 2026, 11:31 p.m.