Triple

T27890263
Position Surface form Disambiguated ID Type / Status
Subject Dudong area E705333 entity
Predicate investmentIncentives P78189 FINISHED
Object tax benefits for eligible investors 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: tax benefits for eligible investors | Statement: [Dudong area, investmentIncentives, tax benefits for eligible investors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: investmentIncentives
Context triple: [Dudong area, investmentIncentives, tax benefits for eligible investors]
  • A. providesIncentivesTo
    Indicates that one entity offers rewards, benefits, or motivations to another entity to encourage a desired behavior or outcome.
  • B. providedTaxIncentivesForSavings
    Indicates that an authority or organization granted tax benefits to encourage individuals or entities to save money.
  • C. stateIncentives chosen
    Indicates that a state government provides benefits, subsidies, or other inducements to encourage a particular action, behavior, or investment.
  • D. vestments
    Indicates that one entity is wearing or is ceremonially clothed in special religious or official garments associated with a role or office.
  • E. usesIncentive
    Indicates that one entity employs or applies an incentive (such as a reward, benefit, or motivation) to influence the behavior or decisions of another entity.
  • F. None of above.

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_69ef96b39c448190a9b3aa6672a5168f completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a931748190a637e631a52bbfaa completed May 2, 2026, 7:34 p.m.
Created at: April 27, 2026, 6:35 p.m.