Triple

T9066858
Position Surface form Disambiguated ID Type / Status
Subject Bedawiyet E217265 entity
Predicate alternativeName P39 FINISHED
Object Bedawiye E658347 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: Bedawiye | Statement: [Bedawiyet, alternativeName, Bedawiye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedawiye
Context triple: [Bedawiyet, alternativeName, Bedawiye]
  • A. Daburiyya
    Daburiyya is an Arab town in northern Israel located at the foot of Mount Tabor in the Lower Galilee region.
  • B. Darqawiyya
    Darqawiyya is a prominent Sufi order that emerged as a reformist branch within the Shadhili tradition, known for its emphasis on spiritual poverty, remembrance of God, and social engagement in North Africa.
  • C. Mesaieed
    Mesaieed is an industrial city in Qatar known for its major port facilities and petrochemical industries.
  • D. Wagdi
    Wagdi is an Indo-Aryan language spoken primarily by the Bhil tribal communities of western India.
  • E. Badawiyya chosen
    Badawiyya is a Sufi order originating in Egypt and associated with the veneration and teachings of the 13th-century mystic Ahmad al-Badawi.
  • 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_69ca83d5a7f48190b16c1e59bd43ede0 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc94bde9c08190a4f568fbccc3c3e9 completed April 1, 2026, 3:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffddc5c288190b18c2ae1aece4ed6 completed April 3, 2026, 5:50 p.m.
Created at: March 30, 2026, 7:11 p.m.