Triple

T348780
Position Surface form Disambiguated ID Type / Status
Subject Jerusalem E6995 entity
Predicate languageSignificantMinority P5562 FINISHED
Object Arabic 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: Arabic | Statement: [Jerusalem, languageSignificantMinority, Arabic]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: languageSignificantMinority
Context triple: [Jerusalem, languageSignificantMinority, Arabic]
  • A. isOfficialMinorityLanguageIn
    Indicates that a language has formal, legally recognized minority-language status within a specified political or geographic entity.
  • B. hasLanguageCommunity chosen
    Indicates that an entity is associated with or serves a particular language community.
  • C. languageFamily
    Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
  • D. languageFamilyStatus
    Indicates the classification or recognition status of a language within a particular language family (e.g., primary, branch, extinct, or disputed).
  • E. additionalOfficialLanguage
    Indicates that an entity has another language, beyond its primary one, that holds official or formally recognized 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb1dc5f88190b54d084c6def7fc5 completed Feb. 28, 2026, 1:18 p.m.
PD Predicate disambiguation batch_69a2e955d1f88190bd687c46fa7c5469 completed Feb. 28, 2026, 1:10 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.