Triple

T1423033
Position Surface form Disambiguated ID Type / Status
Subject classical economics E30266 entity
Predicate viewsGovernmentRoleAs P10115 FINISHED
Object limited 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 | Statement: [classical economics, viewsGovernmentRoleAs, limited]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: viewsGovernmentRoleAs
Context triple: [classical economics, viewsGovernmentRoleAs, limited]
  • A. governmentalRole
    Indicates that an entity holds or is assigned a specific official position, function, or authority within a government or public administration structure.
  • B. viewOnCivilGovernment chosen
    Indicates a person's stance, opinion, or doctrinal position regarding the nature, role, and authority of civil government.
  • C. governmentalFunction
    Indicates that an entity performs, embodies, or is responsible for an official role, duty, or activity of a government.
  • D. ledGovernment
    Indicates that one entity served as the head or primary leader of the government of another entity.
  • E. positionOnGovernment
    Indicates an entity’s stance, role, or status within a governmental structure or political office.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c52e4ed881908d85e0cb9fe851ac completed March 1, 2026, 11:01 p.m.
PD Predicate disambiguation batch_69a4c4752abc8190a33b634c4d6fad28 completed March 1, 2026, 10:57 p.m.
Created at: March 1, 2026, 8 p.m.