Triple

T8867173
Position Surface form Disambiguated ID Type / Status
Subject Eastern Province E211046 entity
Predicate containsOilField P27831 FINISHED
Object Ghawar Field E218486 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: Ghawar Field | Statement: [Eastern Province, containsOilField, Ghawar Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ghawar Field
Context triple: [Eastern Province, containsOilField, Ghawar Field]
  • A. Ghawar oil field chosen
    Ghawar oil field is the world’s largest conventional oil field, located in Saudi Arabia and a major source of the country’s crude oil production.
  • B. Khurais oil field
    Khurais oil field is one of Saudi Arabia’s largest onshore oil fields, playing a major role in the country’s crude oil production capacity.
  • C. Shaybah oil field
    Shaybah oil field is a major remote oil-producing field in Saudi Arabia’s Rub’ al Khali desert, known for its vast reserves and strategic importance to the country’s petroleum output.
  • D. Safaniya oil field
    Safaniya oil field is the world’s largest offshore oil field, located in the Persian Gulf off the coast of Saudi Arabia and operated by Saudi Aramco.
  • E. Hebron oil field
    The Hebron oil field is a major offshore petroleum development located in the Jeanne d’Arc Basin off Newfoundland and Labrador, Canada.
  • 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_69cfab9764388190a57ca0c0bb890523 completed April 3, 2026, 11:59 a.m.
Created at: March 30, 2026, 6:51 p.m.