Triple

T2801496
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, England E53163 entity
Predicate containsSettlement P847 FINISHED
Object Thurston
Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
 E299698 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: Thurston | Statement: [Suffolk, England, containsSettlement, Thurston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thurston
Context triple: [Suffolk, England, containsSettlement, Thurston]
  • A. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • B. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • C. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • D. Douglas
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • E. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • 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: Thurston
Triple: [Suffolk, England, containsSettlement, Thurston]
Generated description
Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thurston
Target entity description: Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
  • A. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • B. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • C. Douglas
    Douglas is a town in South Lanarkshire, Scotland, historically known for its association with the powerful Douglas family and its medieval castle.
  • D. Douglas
    Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
  • E. Douglas
    Douglas is a narrow-gauge steam locomotive that operates on the historic Talyllyn Railway in Wales.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abde1117148190b0c98f906f1c872e completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc66d1e488190a4b85decfb38097f completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc8b12b848190ad514eed2d26a90f completed March 10, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_69afc9413e1881908fc091b98913e1cf completed March 10, 2026, 7:33 a.m.
Created at: March 6, 2026, 9:58 p.m.