Triple

T8938690
Position Surface form Disambiguated ID Type / Status
Subject Manal al-Sharif E212841 entity
Predicate employer P7 FINISHED
Object Saudi Aramco E42281 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: Saudi Aramco | Statement: [Manal al-Sharif, employer, Saudi Aramco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saudi Aramco
Context triple: [Manal al-Sharif, employer, Saudi Aramco]
  • A. Saudi Aramco chosen
    Saudi Aramco is the world’s largest integrated oil and gas company, known for its vast crude oil reserves, massive production capacity, and central role in the global energy market.
  • B. Abu Dhabi National Oil Company
    Abu Dhabi National Oil Company is the state-owned oil and gas company of the Emirate of Abu Dhabi and one of the world’s leading energy producers.
  • C. Aramco Trading Company
    Aramco Trading Company is the global trading arm of Saudi Aramco, responsible for marketing and trading crude oil, refined products, and related energy commodities.
  • D. Kuwait Oil Company
    Kuwait Oil Company is a major state-owned petroleum company in Kuwait responsible for the exploration, drilling, and production of the country’s oil and gas resources.
  • E. Sinopec
    Sinopec is one of China’s largest state-owned oil and petrochemical companies, engaged in exploration, refining, and marketing of petroleum and chemical products worldwide.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b57a348190979effe4f9998eb7 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1eb308c81909f5be133c75ad568 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.