Triple

T8867147
Position Surface form Disambiguated ID Type / Status
Subject Eastern Province E211046 entity
Predicate nativeName P15 FINISHED
Object المنطقة الشرقية E218507 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: المنطقة الشرقية | Statement: [Eastern Province, nativeName, المنطقة الشرقية]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: المنطقة الشرقية
Context triple: [Eastern Province, nativeName, المنطقة الشرقية]
  • A. المنطقة الشرقية chosen
    المنطقة الشرقية هي أكبر منطقة إدارية في المملكة العربية السعودية من حيث المساحة وتعد مركزًا رئيسيًا لصناعة النفط والغاز في البلاد.
  • B. The East
    The East is a 2013 thriller film about an undercover operative infiltrating an eco-terrorist collective, directed by Zal Batmanglij and co-written by and starring Elliot Page.
  • C. Easty
    Easty is the surname of Mary Easty, one of the women executed during the Salem witch trials in 1692.
  • D. Východná
    Východná is a Slovak village in the Liptov region, best known for its annual folklore festival celebrating traditional music, dance, and culture.
  • E. North East
    North East is a London Assembly constituency that covers areas including the London Borough of Islington.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6108530c819084559f4de669ce20 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0dafdf48190abc1fe1a8397e339 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.