Triple

T9106364
Position Surface form Disambiguated ID Type / Status
Subject Ghawar oil field E218486 entity
Predicate subdivision P747 FINISHED
Object Haradh
Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
 E779408 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: Haradh | Statement: [Ghawar oil field, subdivision, Haradh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haradh
Context triple: [Ghawar oil field, subdivision, Haradh]
  • A. Hartha
    Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
  • B. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • C. Gariadhar
    Gariadhar is a town in the Bhavnagar district of Gujarat, India, known for its local markets and regional cultural significance.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • 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: Haradh
Triple: [Ghawar oil field, subdivision, Haradh]
Generated description
Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haradh
Target entity description: Haradh is a major oil-producing area in eastern Saudi Arabia, known for hosting part of the vast Ghawar oil field and associated petroleum infrastructure.
  • A. Hartha
    Hartha is a small town in the German state of Saxony, known for its location within the rural region of Mittelsachsen.
  • B. Rakhumai
    Rakhumai is a revered Hindu goddess worshipped as the compassionate consort of Vithoba (a form of Krishna/Vishnu) at the famous Pandharpur temple in Maharashtra.
  • C. Gariadhar
    Gariadhar is a town in the Bhavnagar district of Gujarat, India, known for its local markets and regional cultural significance.
  • D. Harauti
    Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
  • E. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • 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_69d0302bfa00819097e752f1d0581d2d completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d0343c1e78819084c7d2ca38f55529 completed April 3, 2026, 9:42 p.m.
NED2 Entity disambiguation (via description) batch_69d034a46b088190b8c056eee73d4eaf completed April 3, 2026, 9:44 p.m.
Created at: March 30, 2026, 7:16 p.m.