Triple

T9419450
Position Surface form Disambiguated ID Type / Status
Subject Khurais oil field E227113 entity
Predicate operatorHeadquarters P62 FINISHED
Object Dhahran, Saudi Arabia E150615 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: Dhahran, Saudi Arabia | Statement: [Khurais oil field, operatorHeadquarters, Dhahran, Saudi Arabia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dhahran, Saudi Arabia
Context triple: [Khurais oil field, operatorHeadquarters, Dhahran, Saudi Arabia]
  • A. Dhahran chosen
    Dhahran is a major city in Saudi Arabia’s Eastern Province known for its role as a center of the country’s oil industry and the headquarters of Saudi Aramco.
  • B. Buraidah, Saudi Arabia
    Buraidah is the capital city of Saudi Arabia’s Al-Qassim Region, known as an agricultural hub and home to the football club Al Taawoun FC.
  • C. Dammam
    Dammam is a major Saudi Arabian city and commercial hub on the eastern coast, serving as a key center for the country’s oil industry and maritime trade.
  • D. Jubail
    Jubail is a major industrial and port city on Saudi Arabia’s eastern coast, known for its large petrochemical complexes and strategic maritime facilities.
  • E. Rabigh
    Rabigh is a coastal city on the Red Sea in western Saudi Arabia known for its industrial complexes, port facilities, and proximity to major pilgrimage and trade routes.
  • 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_69ca84359e7c819091148ba4b670e436 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd6c23c65081908d1009c26be66533 completed April 1, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18208ba9081909efa44f98f90c11a completed April 4, 2026, 9:26 p.m.
Created at: March 30, 2026, 7:48 p.m.