Triple

T20953350
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Bishop E516034 entity
Predicate notableWork P4 FINISHED
Object Geography III 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: Geography III | Statement: [Elizabeth Bishop, notableWork, Geography III]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geography III
Context triple: [Elizabeth Bishop, notableWork, Geography III]
  • A. Geography III chosen
    Geography III is a 1976 poetry collection by American poet Elizabeth Bishop, noted for its precise language, autobiographical elements, and exploration of geography, memory, and perception.
  • B. Geo: Geography and Environment
    Geo: Geography and Environment is a peer-reviewed academic journal focusing on research in geography and environmental studies.
  • C. Geography Made Easy
    Geography Made Easy is an influential early American geography textbook by Jedidiah Morse that helped popularize geographic education in the United States in the late 18th century.
  • D. Geography 2050
    Geography 2050 is a forward-looking conference series focused on the future of our planet’s geography, bringing together experts to explore long-term global trends and challenges.
  • E. Geographical Section
    The Geographical Section was a specialized unit within British Naval Intelligence responsible for collecting, analyzing, and providing geographic and cartographic information to support naval planning and operations.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae154a481909f235165a46d0910 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:27 p.m.