Triple

T24516644
Position Surface form Disambiguated ID Type / Status
Subject Economic Cooperation Framework Agreement E606386 entity
Predicate politicalSensitivity P40887 FINISHED
Object high 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: high | Statement: [Economic Cooperation Framework Agreement, politicalSensitivity, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSensitivity
Context triple: [Economic Cooperation Framework Agreement, politicalSensitivity, high]
  • A. politicallySensitive chosen
    Indicates that an entity, action, or topic is associated with political issues, controversies, or power structures such that it may require special caution, regulation, or discretion.
  • B. politicalRepercussion
    Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
  • C. politicalAttitude
    Indicates an individual's stance, opinion, or orientation toward political issues, ideologies, or actors.
  • D. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • E. politicalAwareness
    Indicates an entity’s level of understanding, concern, or engagement with political issues, processes, or power structures.
  • 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_69e2c4c725148190a4e41577c5cb409c completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a9d912e88190bc39c05a9d7f407e completed April 30, 2026, 1:01 a.m.
PD Predicate disambiguation batch_69f2a6a4580481908fddc385f5262f95 completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:24 a.m.