Triple

T33839293
Position Surface form Disambiguated ID Type / Status
Subject China Aid Bridge Project in Metro Manila E867315 entity
Predicate modeOfAssistance P936 FINISHED
Object development assistance 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: development assistance | Statement: [China Aid Bridge Project in Metro Manila, modeOfAssistance, development assistance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: modeOfAssistance
Context triple: [China Aid Bridge Project in Metro Manila, modeOfAssistance, development assistance]
  • A. assistanceMayInclude
    Indicates that one entity’s assistance to another can optionally encompass or involve a specified type, component, or aspect of help.
  • B. assistance
    Indicates providing help, support, or aid from one entity to another to facilitate a task, goal, or need.
  • C. helpsIn
    Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
  • D. typeOfSupport chosen
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • E. requiresAssistanceFrom
    Indicates that one entity depends on help, support, or intervention from another entity to perform an action or fulfill a need.
  • 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_69f34992ad40819087760ed939bd2a7a completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7051ad6e4819095e82bbd64761803 completed May 3, 2026, 8:19 a.m.
PD Predicate disambiguation batch_69f700fe24e08190998e2c96fbaaad38 completed May 3, 2026, 8:02 a.m.
Created at: May 1, 2026, 1:47 a.m.