Triple

T9107237
Position Surface form Disambiguated ID Type / Status
Subject المنطقة الشرقية E218507 entity
Predicate officialName P66 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: [المنطقة الشرقية, officialName, المنطقة الشرقية]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: المنطقة الشرقية
Context triple: [المنطقة الشرقية, officialName, 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. الشرقاط
    الشرقاط هي مدينة عراقية تقع شمال محافظة صلاح الدين على ضفاف نهر دجلة وتُعرف بأهميتها التاريخية والجغرافية.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca573da0081909f4afcdb3ac99c53 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d01842c12c81909fdb57b60e2f11f1 completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:16 p.m.