Triple

T3772245
Position Surface form Disambiguated ID Type / Status
Subject Western Saudi Arabia E83223 entity
Predicate hasMajorPortCity P2994 FINISHED
Object Yanbu 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 | Statement: [Western Saudi Arabia, hasMajorPortCity, Yanbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanbu
Context triple: [Western Saudi Arabia, hasMajorPortCity, Yanbu]
  • 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. Al Bahah
    Al Bahah is a city in southwestern Saudi Arabia known for its mild climate, forests, and mountainous landscapes that make it a popular domestic tourist destination.
  • C. Nasiriyah
    Nasiriyah is a significant city in southern Iraq known as a regional administrative center and a hub near several important archaeological sites such as the ancient city of Ur.
  • D. 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.
  • E. Al-Shuwaikh
    Al-Shuwaikh is a district in Kuwait City known for its industrial area, port facilities, and commercial activity.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c2971788190b8f48da3883d2ba2 completed March 14, 2026, 11:53 a.m.
Created at: March 8, 2026, 3:36 p.m.