Triple

T8203284
Position Surface form Disambiguated ID Type / Status
Subject Qassim Region E191629 entity
Predicate containsCity P294 FINISHED
Object Unaizah E598508 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: Unaizah | Statement: [Qassim Region, containsCity, Unaizah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unaizah
Context triple: [Qassim Region, containsCity, Unaizah]
  • A. Unaizah chosen
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • B. Anizah
    Anizah is a prominent Arab tribal confederation historically associated with the Najd region of the Arabian Peninsula.
  • C. Aziza
    Aziza is a traditional deity revered in Urhobo religion, associated with spiritual protection and guidance within the culture of the Urhobo people of Nigeria.
  • D. Anisa
    Anisa is a feminine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • E. Sabika
    Sabika was the mother of the ninth Shia Imam, Muhammad al-Jawad, and is venerated in Shia tradition for her role in the lineage of the Imams.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df9cac08190a890ded4c7fbd393 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedcb45d0819099c13bd455526974 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:43 p.m.