Triple

T8726468
Position Surface form Disambiguated ID Type / Status
Subject Union Station (Los Angeles) E207142 entity
Predicate architect P184 FINISHED
Object John Parkinson E53828 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: John Parkinson | Statement: [Union Station (Los Angeles), architect, John Parkinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Parkinson
Context triple: [Union Station (Los Angeles), architect, John Parkinson]
  • A. John Parkinson chosen
    John Parkinson was a prominent early 20th-century architect known for shaping the skyline of Los Angeles with landmark civic and commercial buildings.
  • B. John Parkinson
    John Parkinson was a notable English botanist and herbalist of the early 17th century, renowned for his influential plant catalogues and contributions to horticulture.
  • C. Robert Barker
    Robert Barker was a 17th-century English royal printer best known for printing the first edition of the King James Bible.
  • D. John Davies
    John Davies was a British Conservative politician and businessman who served in senior government roles during the late 1960s and early 1970s.
  • E. Thomas Hatfield
    Thomas Hatfield was a 14th-century Bishop of Durham and influential English cleric and statesman.
  • 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_69ca835811d8819081ea00fd2a2c9a1c completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d16cba881908e2a14b60ae65524 completed March 31, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf2912c4e08190a147fc31db6788d1 completed April 3, 2026, 2:42 a.m.
Created at: March 30, 2026, 6:36 p.m.