Triple

T317331
Position Surface form Disambiguated ID Type / Status
Subject Eisenhower Doctrine E7735 entity
Predicate targetedAt P860 FINISHED
Object Middle Eastern countries resisting communism 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: Middle Eastern countries resisting communism | Statement: [Eisenhower Doctrine, targetedAt, Middle Eastern countries resisting communism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetedAt
Context triple: [Eisenhower Doctrine, targetedAt, Middle Eastern countries resisting communism]
  • A. target chosen
    Indicates that one entity is the intended object, goal, or focus of another entity’s action or attention.
  • B. primaryTarget
    Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
  • C. targetMarket
    Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
  • D. marketedFor
    Indicates that something is promoted, advertised, or positioned as being intended or suitable for a particular use, audience, or purpose.
  • E. coordinatedAttacksAlsoTargeted
    Indicates that in a set of coordinated attacks, the same target was also attacked as part of those coordinated actions.
  • 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_69a2e7e7af7881908890039d6be4e9b8 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ea65ca7081908093e6aaaf2d34f7 completed Feb. 28, 2026, 1:15 p.m.
PD Predicate disambiguation batch_69a2e943f12c8190883854aeed974260 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.