Triple

T9224935
Position Surface form Disambiguated ID Type / Status
Subject Al-Ghat E221656 entity
Predicate hasSpokenDialect P84576 FINISHED
Object Najdi Arabic E36756 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: Najdi Arabic | Statement: [Al-Ghat, hasSpokenDialect, Najdi Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najdi Arabic
Context triple: [Al-Ghat, hasSpokenDialect, Najdi Arabic]
  • A. Najdi Arabic chosen
    Najdi Arabic is a central Arabian dialect of the Arabic language spoken primarily in the Najd region of Saudi Arabia.
  • B. Razihi Arabic
    Razihi Arabic is a highly distinctive and conservative Arabic variety spoken in the Razih region of northwestern Yemen, noted for preserving archaic linguistic features.
  • C. Shua Arabic
    Shua Arabic is a variety of Arabic spoken primarily by nomadic and semi-nomadic communities in Chad and neighboring regions of Central Africa.
  • D. Arabic
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • E. 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.
  • 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: hasSpokenDialect
Context triple: [Al-Ghat, hasSpokenDialect, Najdi Arabic]
  • A. hasTraditionalDialect
    Indicates that an entity possesses or is associated with a traditional form or variety of a language or dialect.
  • B. historicallySpokenIn
    Indicates that a language was used for spoken communication in a particular place or region during a past historical period.
  • C. hasLinguisticHeritage
    Indicates that one entity possesses or is associated with the linguistic background, tradition, or ancestry of another entity.
  • D. hasNumberOfDialects
    Indicates the relationship between a language (or linguistic entity) and the count of distinct dialects it possesses.
  • E. hasLinguisticVariety chosen
    Indicates that one entity possesses or exhibits a particular linguistic variety in relation to another entity or context.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda9c71c4819089dcc3689f322529 completed April 1, 2026, 8:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d066521f288190a54b1199284db7a4 completed April 4, 2026, 1:16 a.m.
PD Predicate disambiguation batch_69cc7a3daeb481908b0abde3fbc1f1f0 completed April 1, 2026, 1:51 a.m.
Created at: March 30, 2026, 7:28 p.m.