Triple

T8546107
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Stratten E202327 entity
Predicate familyName P18 FINISHED
Object Hoogstraten E543571 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: Hoogstraten | Statement: [Dorothy Stratten, familyName, Hoogstraten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hoogstraten
Context triple: [Dorothy Stratten, familyName, Hoogstraten]
  • A. Hoogstraten chosen
    Hoogstraten is a historic town and municipality in northern Belgium known for its distinctive church tower and agricultural production, particularly strawberries.
  • B. Wernhout
    Wernhout is a village in the Dutch province of North Brabant, located within the municipality of Zundert near the Belgian border.
  • C. Dwingeloo
    Dwingeloo is a village in the Dutch province of Drenthe, known for its historic green, traditional Saxon farmhouses, and proximity to the Dwingelderveld National Park.
  • D. Steenbergen
    Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
  • E. Steenbergen
    Steenbergen is a small village located in the municipality of Noordenveld in the Dutch province of Drenthe.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6db3eef08190934f5b42807ad769 completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:18 p.m.