Triple

T735066
Position Surface form Disambiguated ID Type / Status
Subject United States politics E14910 entity
Predicate keyIssueArea P19540 FINISHED
Object economic policy 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: economic policy | Statement: [United States politics, keyIssueArea, economic policy]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: keyIssueArea
Context triple: [United States politics, keyIssueArea, economic policy]
  • A. keyFeature
    Indicates that something is a primary, distinguishing, or most important feature of an entity.
  • B. key
    Indicates that one entity functions as a key (literal or metaphorical) that unlocks, enables access to, or provides a crucial solution or control over another entity.
  • C. commonPolicyArea
    Indicates that two entities share the same policy domain, topic, or area of regulatory or legislative focus.
  • D. keySector
    Indicates that an entity operates in, belongs to, or is primarily associated with a particularly important or strategic sector within a broader domain or economy.
  • E. keyComponent
    Indicates that one entity is an essential or foundational part required for the proper function, structure, or identity of another entity.
  • 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_69a4934d9930819099eed80096b0597d completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a66820548190b373deb117187c2c completed March 1, 2026, 8:49 p.m.
PD Predicate disambiguation batch_69a4a4fafee081909bf356854c09aaff completed March 1, 2026, 8:43 p.m.
PDg Predicate description generation batch_69a4a66658948190bdae6e521951954f completed March 1, 2026, 8:49 p.m.
Created at: March 1, 2026, 7:37 p.m.