Triple

T15979530
Position Surface form Disambiguated ID Type / Status
Subject Governor of Pennsylvania E387535 entity
Predicate officialLanguageOfOfficeDocuments P30223 FINISHED
Object English 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: English | Statement: [Governor of Pennsylvania, officialLanguageOfOfficeDocuments, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: officialLanguageOfOfficeDocuments
Context triple: [Governor of Pennsylvania, officialLanguageOfOfficeDocuments, English]
  • A. officialLanguage
    Indicates that a particular language has been formally designated by an authority as the official language used for government, legal, or administrative purposes in a given jurisdiction.
  • B. languageOfOfficialReports
    Indicates the language in which an entity’s official reports are written or issued.
  • C. officialLanguageUse chosen
    Indicates that a particular language is formally designated and used by an authority (such as a government or institution) for official communication, documentation, or functions.
  • D. officialLanguageOfTitle
    Indicates that a specified language is the officially designated language associated with a particular title or position.
  • E. previousOfficialLanguage
    Indicates that one language formerly held official status in a country, region, or organization before being replaced or losing that status.
  • 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.