Triple

T2147893
Position Surface form Disambiguated ID Type / Status
Subject Najran Region E47110 entity
Predicate hasCity P316 FINISHED
Object Najran E238922 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: Najran | Statement: [Najran Region, hasCity, Najran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Najran
Context triple: [Najran Region, hasCity, Najran]
  • A. Najran chosen
    Najran is a city in southwestern Saudi Arabia near the Yemeni border, known for its rich pre-Islamic history, diverse culture, and rapid modern development.
  • B. Jowhar
    Jowhar is a town in southern Somalia that serves as the capital of the Middle Shabelle region and an important agricultural and administrative center.
  • C. Qiddiya
    Qiddiya is a massive entertainment, sports, and cultural megaproject near Riyadh, designed to become a flagship leisure destination and economic diversification hub for Saudi Arabia.
  • D. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • E. Åna-Sira
    Åna-Sira is a small coastal village in southwestern Norway, known for its scenic fjord landscape and location at the mouth of the river Sira on the border between Rogaland and Agder counties.
  • 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_69a88a1933e0819094f18426ed74180f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe271adc8190888c9086e9b8cc0c completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d92391c8190a11f96796507a8d3 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:44 p.m.