Triple

T16081438
Position Surface form Disambiguated ID Type / Status
Subject Yanbu Refinery E390118 entity
Predicate partOf P40 FINISHED
Object Yanbu industrial city E91777 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: Yanbu industrial city | Statement: [Yanbu Refinery, partOf, Yanbu industrial city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanbu industrial city
Context triple: [Yanbu Refinery, partOf, Yanbu industrial city]
  • A. Yanbu chosen
    Yanbu is a coastal city in western Saudi Arabia on the Red Sea, known as an industrial and port hub in the Medina Province.
  • B. 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.
  • C. Al-Shuwaikh
    Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
  • D. Ras Al Khair Industrial City
    Ras Al Khair Industrial City is a major Saudi industrial hub on the Arabian Gulf, known for its large-scale mining, minerals processing, and maritime industries.
  • E. الجهراء
    الجهراء هي مدينة كويتية تقع غرب مدينة الكويت وتعد من أكبر محافظات البلاد من حيث المساحة والسكان.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844b86288190ad0452aad6bdd5fb completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00758380d08190bfe73d3e052c1f0a completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 4:57 a.m.