Triple

T19967150
Position Surface form Disambiguated ID Type / Status
Subject Douglas Freshfield E479966 entity
Predicate familyName P18 FINISHED
Object Freshfield NE NERFINISHED

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: Freshfield | Statement: [Douglas Freshfield, familyName, Freshfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freshfield
Context triple: [Douglas Freshfield, familyName, Freshfield]
  • A. Freshfield chosen
    Freshfield is a coastal residential area in Merseyside, England, known for its affluent character, pine woods, and proximity to sandy beaches and nature reserves.
  • B. Tutcheria
    Tutcheria is a lesser-known genus of flowering plants in the tea family Theaceae, comprising shrubs or small trees native to parts of East Asia.
  • C. Demel
    Demel is a historic and prestigious Viennese pastry shop and chocolatier renowned for its traditional cakes and confections.
  • D. Fenner's
    Fenner's is a historic cricket ground in Cambridge, England, best known as the main venue for Cambridge University Cricket Club matches.
  • E. Oasis Canteen
    Oasis Canteen is a casual quick-service snack and beverage stand located along Echo Lake in Disney’s Hollywood Studios.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e523c19881909f9197037200dde6 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65bc5e41881908c1e8867820f1c0c completed April 20, 2026, 5 p.m.
Created at: April 10, 2026, 1:54 p.m.