Triple

T9596633
Position Surface form Disambiguated ID Type / Status
Subject Eduard Buchner E231545 entity
Predicate nobelPrizeDiscipline P1861 FINISHED
Object Chemistry E73795 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: Chemistry | Statement: [Eduard Buchner, nobelPrizeDiscipline, Chemistry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chemistry
Context triple: [Eduard Buchner, nobelPrizeDiscipline, Chemistry]
  • A. Chemistry chosen
    Chemistry is the branch of science that studies the composition, structure, properties, and transformations of matter at the atomic and molecular levels.
  • B. Chimica
    Chimica is a specialized scientific database focused on chemistry literature and research.
  • C. CHM
    CHM is the National Rail station code for Chelmsford railway station in Essex, England.
  • D. Chemical Science
    Chemical Science is a leading peer-reviewed open-access journal covering cutting-edge research across all areas of chemistry, published by the Royal Society of Chemistry.
  • E. General Chemistry
    General Chemistry is a foundational chemistry textbook by Linus Pauling that helped shape modern chemical education through its clear exposition of atomic structure, bonding, and chemical principles.
  • 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_69ca8482884481908eccdfdf64d6fbf7 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9a34f5408190ba72ba8311eb259c completed April 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16199845881908f8a91182ca48250 completed April 4, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:07 p.m.