Triple

T3619911
Position Surface form Disambiguated ID Type / Status
Subject Tihami Arabic E76697 entity
Predicate hasAncestor P369 FINISHED
Object Old Arabic E7622 NE 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: Old Arabic | Statement: [Tihami Arabic, hasAncestor, Old Arabic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Arabic
Context triple: [Tihami Arabic, hasAncestor, Old Arabic]
  • A. Old Arabic chosen
    Old Arabic is the early stage of the Arabic language attested in pre-Islamic inscriptions and poetry, representing the linguistic ancestor of Classical and Modern Arabic varieties.
  • B. Classical Arabic
    Classical Arabic is the standardized, literary form of the Arabic language used in the Quran and early Islamic literature, serving as the historical foundation for Modern Standard Arabic.
  • C. Safaitic Arabic
    Safaitic Arabic is an ancient North Arabian dialect known from inscriptions left by nomadic tribes in the southern Syrian and northern Arabian deserts during the first centuries CE.
  • D. Arabic
    Arabic is a Semitic language widely spoken across the Arab world and used as a liturgical language in Islam.
  • E. Mamluk Arabic
    Mamluk Arabic is the historical variety of Arabic that developed and was used as the administrative and cultural lingua franca in Egypt and the Levant under the rule of the Mamluk Sultanate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ad85dae2fc81908d1ceadbc6af0089 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2b85f6c819091000e231d9dac87 completed March 8, 2026, 6:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4331cc73881908033d001448f0b23 completed March 13, 2026, 3:54 p.m.
Created at: March 8, 2026, 3:23 p.m.