Triple

T9106360
Position Surface form Disambiguated ID Type / Status
Subject Ghawar oil field E218486 entity
Predicate subdivision P747 FINISHED
Object Ain Dar
Ain Dar is a major producing sector within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the field’s overall crude output.
 E784330 NE FINISHED

How this triple was built (4 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: Ain Dar | Statement: [Ghawar oil field, subdivision, Ain Dar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ain Dar
Context triple: [Ghawar oil field, subdivision, Ain Dar]
  • A. Badr City
    Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
  • B. Kafr Saad
    Kafr Saad is a town in northeastern Egypt situated within the Nile Delta region.
  • C. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • D. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • E. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ain Dar
Triple: [Ghawar oil field, subdivision, Ain Dar]
Generated description
Ain Dar is a major producing sector within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the field’s overall crude output.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ain Dar
Target entity description: Ain Dar is a major producing sector within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the field’s overall crude output.
  • A. Badr City
    Badr City is a planned satellite city in Egypt that forms part of the Greater Cairo metropolitan area, known for its industrial zones and residential developments.
  • B. Kafr Saad
    Kafr Saad is a town in northeastern Egypt situated within the Nile Delta region.
  • C. Ain El Mreisseh
    Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
  • D. Omdurman
    Omdurman is a major city in Sudan, historically significant as a cultural and commercial center and effectively forming part of the country’s greater capital area.
  • E. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • F. None of above. chosen

Provenance (5 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_69cca57286a88190b256d2461c5c0aed completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05bf002c081909bb82bb765bbf4b1 completed April 4, 2026, 12:31 a.m.
NEDg Description generation batch_69d05dee7f8881908ae7276b80bb6f99 completed April 4, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_69d05e3e7e2c8190b4903b465e49b8ef completed April 4, 2026, 12:41 a.m.
Created at: March 30, 2026, 7:16 p.m.