Triple

T31456130
Position Surface form Disambiguated ID Type / Status
Subject Connecticut scenic roads E802454 entity
Predicate alsoAdministeredBy P23179 FINISHED
Object municipal governments in Connecticut 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: municipal governments in Connecticut | Statement: [Connecticut scenic roads, alsoAdministeredBy, municipal governments in Connecticut]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoAdministeredBy
Context triple: [Connecticut scenic roads, alsoAdministeredBy, municipal governments in Connecticut]
  • A. administersFrom
    Indicates that an action, service, or process is carried out or managed starting from a particular source, location, or authority.
  • B. administersFor
    Indicates that one entity provides or applies something (such as a treatment, service, or resource) on behalf of or for the benefit of another entity.
  • C. coAdministersWith chosen
    Indicates that one entity is administered together with another entity, typically at the same time or as part of the same treatment or process.
  • D. administeredBy
    Indicates that an action, service, or process is carried out, managed, or overseen by a specified agent or authority.
  • E. administeredAs
    Indicates that one entity is given or applied to another entity as a treatment, dose, or intervention.
  • 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_69f348c678ac81908a2e950867619061 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a5f71b2c8190aade8a83f465be0c completed May 3, 2026, 1:33 a.m.
PD Predicate disambiguation batch_69f69fe66df08190958558d63ee623d9 completed May 3, 2026, 1:07 a.m.
Created at: April 30, 2026, 9:16 p.m.