Triple

T9421369
Position Surface form Disambiguated ID Type / Status
Subject Lebanon–United States relations E227157 entity
Predicate USSupports P16415 FINISHED
Object Lebanese civil society organizations 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: Lebanese civil society organizations | Statement: [Lebanon–United States relations, USSupports, Lebanese civil society organizations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: USSupports
Context triple: [Lebanon–United States relations, USSupports, Lebanese civil society organizations]
  • A. providesSupportTo chosen
    Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
  • B. usedSupport
    Indicates that one entity employed or relied on another entity as a means of support or assistance in performing an action or achieving a result.
  • C. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • D. typeOfSupport
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • E. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c2651c48190808281779fab49df completed April 1, 2026, 7:04 p.m.
PD Predicate disambiguation batch_69cca550777c819094e1851a6127cbbc completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:48 p.m.