Triple

T3918126
Position Surface form Disambiguated ID Type / Status
Subject Lakeview Cemetery, Burlington, Vermont E88892 entity
Predicate hasPrimaryLanguageOfLocality P1252 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: [Lakeview Cemetery, Burlington, Vermont, hasPrimaryLanguageOfLocality, English]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrimaryLanguageOfLocality
Context triple: [Lakeview Cemetery, Burlington, Vermont, hasPrimaryLanguageOfLocality, English]
  • A. nativeLanguage
    Indicates the language that a person or entity originally learned and uses as their primary or first language.
  • B. primaryLanguageOf chosen
    Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
  • C. ethnicLanguageStatus
    Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
  • D. isLinguaFrancaOf
    Indicates that a language serves as a common medium of communication between speakers of different native languages within a particular region, community, or context.
  • E. majorityLanguageOf
    Indicates that a given language is the primary or most widely spoken language within a specified group, region, or 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_69aed955229881909e85e73ffab1d343 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef188b474819087680db42b04ecdd completed March 9, 2026, 4:12 p.m.
PD Predicate disambiguation batch_69aee75eedcc81908088ff4dbb8be56b completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:22 p.m.