Triple

T3804742
Position Surface form Disambiguated ID Type / Status
Subject Yanbu E91777 entity
Predicate hasDistrict P459 FINISHED
Object Yanbu an-Nakhl 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 an-Nakhl | Statement: [Yanbu, hasDistrict, Yanbu an-Nakhl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yanbu an-Nakhl
Context triple: [Yanbu, hasDistrict, Yanbu an-Nakhl]
  • 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. Al-Uqair
    Al-Uqair is an ancient coastal port in eastern Saudi Arabia that historically served as a key trading and administrative gateway for the region.
  • D. 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.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7bc240881909e91b7b99403a13c completed March 9, 2026, 3:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5768163948190abd1075a20e4706d completed March 14, 2026, 2:53 p.m.
Created at: March 9, 2026, 3:15 p.m.