Triple

T1542871
Position Surface form Disambiguated ID Type / Status
Subject Office of State and Local Finance E32909 entity
Predicate governmentLevelServed P1085 FINISHED
Object state governments 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: state governments | Statement: [Office of State and Local Finance, governmentLevelServed, state governments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentLevelServed
Context triple: [Office of State and Local Finance, governmentLevelServed, state governments]
  • A. governmentServed
    Indicates that a person has held a position serving in or working for a particular government.
  • B. levelOfGovernment chosen
    Indicates the specific tier or layer within a governmental hierarchy (e.g., local, regional, national) at which an entity operates or an action is taken.
  • C. governingBodyLevel
    Indicates the hierarchical level or tier at which a governing body operates within a political or organizational structure.
  • D. governmentBranchServed
    Indicates that an entity has served in or been a member of a particular branch of government.
  • E. servesStateOrDistrict
    Indicates that an entity holds a role or position in service to a specific state or electoral district.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa95c1a2948190a2b98469afec1a7d completed March 6, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69a907b2453c8190a41f6b88c8217d1e completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.