Triple

T8114849
Position Surface form Disambiguated ID Type / Status
Subject Ely–Ipswich line E189446 entity
Predicate passesThrough P225 FINISHED
Object Thurston E299698 NE FINISHED

How this triple was built (2 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: [Ely–Ipswich line, passesThrough, Thurston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thurston
Context triple: [Ely–Ipswich line, passesThrough, Thurston]
  • A. Thurston chosen
    Thurston is a village and civil parish in Suffolk, England, known for its rural character and local community amenities.
  • B. Douglas
    Douglas is a small lakeside city in Allegan County, Michigan, known for its arts community and proximity to Lake Michigan beaches.
  • C. Douglas
    Douglas is a small community located on Douglas Island across from downtown Juneau in southeastern Alaska.
  • D. Douglas
    Douglas is a suburban area of Cork, Ireland, known as a residential and commercial hub just southeast of Cork city centre.
  • E. Douglas
    Douglas is a small town in South Africa’s Northern Cape province, situated near the confluence of the Orange and Vaal Rivers and known for its agricultural activities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82baad008190ab2859712b9b1607 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43308e0081909ea0463dabd74e4d completed March 31, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc943bdaa48190971bf57ae4fb5c21 completed April 1, 2026, 3:42 a.m.
Created at: March 30, 2026, 5:32 p.m.