Triple

T9632053
Position Surface form Disambiguated ID Type / Status
Subject Tang Prize in Biopharmaceutical Science E232830 entity
Predicate additionalFunding P89360 FINISHED
Object NT$10 million for research LITERAL 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: NT$10 million for research | Statement: [Tang Prize in Biopharmaceutical Science, additionalFunding, NT$10 million for research]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: additionalFunding
Context triple: [Tang Prize in Biopharmaceutical Science, additionalFunding, NT$10 million for research]
  • A. possibleAdditionalFunding
    Indicates that there is a potential for securing or providing further financial resources beyond what has already been allocated or committed.
  • B. additionalFundingPurpose
    Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
  • C. secondaryFundingSource
    Indicates that an entity has an additional, non-primary source of financial support or funding.
  • D. fundingComponent
    Indicates that one entity serves as a financial contributor or funding source for another entity or activity.
  • E. fundingContext
    Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
  • F. None of above. chosen

Provenance (4 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b2783b48190a9929dc3e3cd2956 completed April 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69ccd5acfa5c8190aaba3cf548723604 completed April 1, 2026, 8:22 a.m.
PDg Predicate description generation batch_69ccd93fc45c8190a823305e461e581d completed April 1, 2026, 8:37 a.m.
Created at: March 30, 2026, 8:11 p.m.