Triple

T14732459
Position Surface form Disambiguated ID Type / Status
Subject Blakiston's Line E346110 entity
Predicate namedAfter P63 FINISHED
Object Thomas Blakiston E346110 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: Thomas Blakiston | Statement: [Blakiston's Line, namedAfter, Thomas Blakiston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Blakiston
Context triple: [Blakiston's Line, namedAfter, Thomas Blakiston]
  • A. Thomas Blakiston chosen
    Thomas Blakiston was a 19th-century English explorer and naturalist known for his work in East Asia and for identifying the biogeographical boundary in Japan now called Blakiston’s Line.
  • B. Charles Hawker
    Charles Hawker was an Australian pastoralist and conservative politician who served in the federal parliament in the early 20th century and briefly as Speaker of the House of Representatives.
  • C. Angus Kennett
    Angus Kennett is one of the children of former Victorian premier and prominent Australian businessman Jeff Kennett.
  • D. John Gillies
    John Gillies is a name shared by several notable individuals, including historians, politicians, and public figures from English-speaking countries.
  • E. Henry Bower
    Henry Bower was a notable figure in science whose legacy is honored by the Franklin Institute through the Bower Award and Prize for Achievement in Science.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec72ea9348190817efcdaa973d7f7 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ac17888190bda346df75d37620 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:29 a.m.