Triple

T2115824
Position Surface form Disambiguated ID Type / Status
Subject Hejaz E43807 entity
Predicate contains P35 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: [Hejaz, contains, Yanbu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanbu
Context triple: [Hejaz, contains, 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. 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.
  • C. Jubayl
    Jubayl is a historic coastal city in Lebanon, widely identified with the ancient Phoenician city of Byblos, one of the oldest continuously inhabited cities in the world.
  • D. Khobar
    Khobar is a modern commercial and residential city on Saudi Arabia’s Arabian Gulf coast, known for its waterfront corniche, shopping centers, and role in the country’s oil-driven economy.
  • E. Al-Kharj
    Al-Kharj is a city in central Saudi Arabia, southeast of Riyadh, known for its agricultural production and growing urban development.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2dfd3c81909b5e2996bc324301 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69b324b9ba9c8190bfba5d7539cffeb2 completed March 12, 2026, 8:40 p.m.
Created at: March 4, 2026, 7:43 p.m.