Triple

T2703421
Position Surface form Disambiguated ID Type / Status
Subject Ombudsman’s Office E59286 entity
Predicate accountabilityTo P42085 FINISHED
Object public 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: public | Statement: [Ombudsman’s Office, accountabilityTo, public]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: accountabilityTo
Context triple: [Ombudsman’s Office, accountabilityTo, public]
  • A. accountableThrough
    Indicates that one entity bears responsibility or can be held answerable by means of, or via the mechanism provided by, another entity or process.
  • B. responsibleFor
    Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
  • C. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • D. appointedFor
    Indicates that an entity has been officially assigned or designated to perform a specific role, task, or function for another entity or purpose.
  • E. cabinetResponsibleTo
    Indicates that a cabinet is politically accountable to, and can be held responsible by, a particular authority or body.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda5011bc8190ae4e41da391e759c completed March 7, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69abd82062988190b4292f242ad70b2c completed March 7, 2026, 7:47 a.m.
PDg Predicate description generation batch_69abd9ceec708190aa162399023b2273 completed March 7, 2026, 7:54 a.m.
Created at: March 6, 2026, 9:55 p.m.