Triple

T10479933
Position Surface form Disambiguated ID Type / Status
Subject Bedouin Arabic E247143 entity
Predicate spokenIn P2266 FINISHED
Object Hejaz E43807 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: Hejaz | Statement: [Bedouin Arabic, spokenIn, Hejaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hejaz
Context triple: [Bedouin Arabic, spokenIn, Hejaz]
  • A. Hejaz chosen
    Hejaz is a historic western region of Saudi Arabia along the Red Sea coast, known as the birthplace of Islam and home to the holy cities of Mecca and Medina.
  • B. Al-Ghat
    Al-Ghat is a small town in central Saudi Arabia known for its agricultural heritage, traditional architecture, and location within the Najd region.
  • C. Dumat Al-Jandal
    Dumat Al-Jandal is an ancient oasis city in northwestern Saudi Arabia known for its historic ruins, strategic location on old trade routes, and distinctive stone architecture.
  • D. HijazRegion
    HijazRegion is a historic region in western Saudi Arabia that encompasses the holy cities of Mecca and Medina and has long served as a cultural and religious heartland of the Islamic world.
  • E. As-Suwayda
    As-Suwayda is a city in southwestern Syria known as a center of the Druze community and for its nearby ancient and volcanic landscapes.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095b2ec881909e1220d83e750a75 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89fb27f5081909e78bd8029e65948 completed April 10, 2026, 6:58 a.m.
Created at: April 6, 2026, 12:22 p.m.