Triple

T8565872
Position Surface form Disambiguated ID Type / Status
Subject Mahas E202799 entity
Predicate inContactWithLanguage P741 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: [Mahas, inContactWithLanguage, Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arabic
Context triple: [Mahas, inContactWithLanguage, 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: inContactWithLanguage
Context triple: [Mahas, inContactWithLanguage, Arabic]
  • A. usedAsContactLanguageBetween
    Indicates that a language functions as the medium of communication between two or more distinct language communities.
  • B. contactLanguageWith
    Indicates that two entities communicate with each other using a particular language as the medium of contact.
  • C. languageContactWith
    Indicates a relationship where two or more languages come into contact through their speakers, leading to interaction and potential mutual influence.
  • D. primaryLanguageContact
    Indicates that one language serves as the main or dominant medium of communication in a particular contact situation between language communities.
  • E. languagesSpoken chosen
    Indicates that an entity is able to communicate using one or more specified languages.
  • F. None of above.

Provenance (4 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89677888819091dfda14ce6baef3 completed April 2, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69cbd11856048190a1ce4b83a38f6965 completed March 31, 2026, 1:50 p.m.
Created at: March 30, 2026, 6:20 p.m.