Triple

T21980062
Position Surface form Disambiguated ID Type / Status
Subject As-Suwayda Governorate E542812 entity
Predicate historicalRegion P915 FINISHED
Object Hauran NE NERFINISHED

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: Hauran | Statement: [As-Suwayda Governorate, historicalRegion, Hauran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hauran
Context triple: [As-Suwayda Governorate, historicalRegion, Hauran]
  • A. Hauran chosen
    Hauran is a historical region in southwestern Syria and northwestern Jordan, known for its fertile volcanic plains and ancient settlements.
  • B. Haidgau
    Haidgau is a village and district within the spa town of Bad Wurzach in the German state of Baden-Württemberg.
  • C. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • D. Huria
    Huria is a marae-based Māori community associated with the Ngāti Ranginui iwi in Aotearoa New Zealand.
  • E. Werrika
    Werrika is an alternative name for the Wergaia people, an Aboriginal Australian group traditionally associated with parts of western Victoria.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248cf0388190b557d065beb662b5 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.