Triple

T4112552
Position Surface form Disambiguated ID Type / Status
Subject Médecins Sans Frontières E90208 entity
Predicate fundingPolicy P54711 FINISHED
Object limited institutional funding 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: limited institutional funding | Statement: [Médecins Sans Frontières, fundingPolicy, limited institutional funding]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: fundingPolicy
Context triple: [Médecins Sans Frontières, fundingPolicy, limited institutional funding]
  • A. fundingModel
    Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
  • B. fundingContext
    Indicates the circumstances, purpose, or conditions under which funding is provided or used in a given relationship or action.
  • C. feePolicy
    Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
  • D. governingPolicy
    Indicates that one entity serves as the authoritative policy or set of rules that directs, constrains, or regulates the behavior, operation, or decisions of another entity.
  • E. fundingSpeed
    Indicates how quickly financial resources are provided or disbursed within a given funding relationship or process.
  • 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_69aed95c080881908125e30c5dcdc6f8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03d7240c8190a64dcbc669772808 completed March 9, 2026, 5:31 p.m.
PD Predicate disambiguation batch_69af0183eb84819087d7184de28f5514 completed March 9, 2026, 5:21 p.m.
PDg Predicate description generation batch_69af03d5cce88190ad53bc6cfe10b21e completed March 9, 2026, 5:31 p.m.
Created at: March 9, 2026, 3:41 p.m.