Triple

T4081120
Position Surface form Disambiguated ID Type / Status
Subject Jabir ibn Hayyan E87478 entity
Predicate JabirianCorpusLanguage P52895 FINISHED
Object Arabic E1330 NE FINISHED

How this triple was built (3 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: [Jabir ibn Hayyan, JabirianCorpusLanguage, Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic
Context triple: [Jabir ibn Hayyan, JabirianCorpusLanguage, Arabic]
  • A. Arabic chosen
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • B. Hijazi Arabic
    Hijazi Arabic is a major regional variety of Arabic spoken primarily in western Saudi Arabia, especially in the Hijaz region including cities like Mecca, Medina, and Jeddah.
  • C. Badawi Najdi Arabic
    Badawi Najdi Arabic is a Bedouin variety of the Najdi Arabic dialect spoken primarily by nomadic and tribal communities in central Arabia.
  • D. Hassaniya Arabic
    Hassaniya Arabic is a variety of Arabic spoken primarily in Mauritania and parts of neighboring West African and Saharan countries, known for its Bedouin roots and distinctive phonology and vocabulary.
  • E. Egyptian Arabic
    Egyptian Arabic is the most widely understood modern Arabic dialect, centered in Egypt and heavily influenced by the speech and media of Cairo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: JabirianCorpusLanguage
Context triple: [Jabir ibn Hayyan, JabirianCorpusLanguage, Arabic]
  • A. religiousTextLanguageOf
    Indicates that a particular language is the language in which a given religious text is written or primarily expressed.
  • B. ancientLanguages
    Indicates that the related entities are languages that originated in and were used during ancient historical periods.
  • C. revelationLanguage
    Indicates that a revelation, message, or disclosure is expressed or communicated in a particular language.
  • D. hasClericalLanguage
    Indicates that something is expressed using formal, religious, or church-related language or terminology.
  • E. typicalLanguageOfReadings
    Indicates the language that is most commonly used for readings or interpretations associated with a given entity.
  • 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc5204d881909829de15015aa50d completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562ac25848190951431c9c853cc59 completed March 14, 2026, 1:29 p.m.
PD Predicate disambiguation batch_69aef9082c2081908474f082a49bebc8 completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aef9b34dec81909bbc3def9decc71a completed March 9, 2026, 4:47 p.m.
Created at: March 9, 2026, 3:39 p.m.