Triple

T167698
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Massachusetts House of Representatives E3051 entity
Predicate languageOfOffice P4185 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: [Speaker of the Massachusetts House of Representatives, languageOfOffice, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageOfOffice
Context triple: [Speaker of the Massachusetts House of Representatives, languageOfOffice, 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. oneOfSixOfficialLanguagesOf
    Indicates that a language is one of the six officially recognized languages of a particular organization, institution, or entity.
  • C. isLanguageOf chosen
    Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
  • D. languageOfCeremony
    Indicates the language in which a ceremony is conducted or officially performed.
  • E. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • 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_69a2524ce1e48190ab066bf72859f474 completed Feb. 28, 2026, 2:26 a.m.
NER Named-entity recognition batch_69a258b58efc8190959c86f73d67b744 completed Feb. 28, 2026, 2:53 a.m.
PD Predicate disambiguation batch_69a25665f5b8819096ca3e084faf976e completed Feb. 28, 2026, 2:43 a.m.
Created at: Feb. 28, 2026, 2:34 a.m.