Triple

T2832483
Position Surface form Disambiguated ID Type / Status
Subject Southern Iraq E62271 entity
Predicate hasMajorCity P316 FINISHED
Object Nasiriyah E100692 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: Nasiriyah | Statement: [Southern Iraq, hasMajorCity, Nasiriyah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasiriyah
Context triple: [Southern Iraq, hasMajorCity, Nasiriyah]
  • A. Nasiriyah chosen
    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.
  • B. 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.
  • C. Diriyah
    Diriyah is a historic town in Saudi Arabia that served as the original home of the Saudi royal family and the capital of the first Saudi state.
  • D. 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.
  • E. Tabuk
    Tabuk is a city in northwestern Saudi Arabia known as the capital of the Tabuk Region and a growing hub for trade and development projects.
  • 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_69ab4c3c39188190955b9c49d98463d8 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdebe95188190bf65fb4cd88e2ec5 completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69b4cdbd9a9c8190b1135a4120ac0c6b completed March 14, 2026, 2:53 a.m.
Created at: March 6, 2026, 10:01 p.m.