Triple

T23812572
Position Surface form Disambiguated ID Type / Status
Subject Citizen Genêt affair E589897 entity
Predicate governmentRespondent P153646 FINISHED
Object United States federal government E324 NE 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: United States federal government | Statement: [Citizen Genêt affair, governmentRespondent, United States federal government]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: governmentRespondent
Context triple: [Citizen Genêt affair, governmentRespondent, United States federal government]
  • A. hostGovernment
    Indicates that a government serves as the official host or primary responsible authority for an event, activity, organization, or foreign presence within its jurisdiction.
  • B. governmentCategory
    Indicates the type or classification of a government associated with an entity.
  • C. governmentOffice
    Indicates that an entity functions as an official administrative or governmental office responsible for carrying out public or state-related duties.
  • D. governmentBodyRepresented
    Indicates that one entity serves as the official representative or acting body on behalf of a particular government or governmental authority.
  • E. governmentOutcome
    Indicates the result, consequence, or effect produced by a government’s decisions, actions, or policies.
  • F. None of above. chosen

Provenance (5 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_69e25d19fecc8190a5cf39bbb18d5d7f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c75715d48190ac55713de9d5ba4f completed April 29, 2026, 8:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fc9911b24819087c34f44859e1831 completed May 22, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
PDg Predicate description generation batch_69f15adb23d88190ac2632299c26a9b3 completed April 29, 2026, 1:11 a.m.
Created at: April 17, 2026, 7:57 p.m.