Triple

T1980809
Position Surface form Disambiguated ID Type / Status
Subject Northern Borders Region E43020 entity
Predicate hasCity P316 FINISHED
Object Arar E196368 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: Arar | Statement: [Northern Borders Region, hasCity, Arar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arar
Context triple: [Northern Borders Region, hasCity, Arar]
  • A. Arar chosen
    Arar is a city in northern Saudi Arabia that serves as the capital of the Northern Borders Region and a regional center for trade and administration.
  • B. Nahe
    Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
  • C. Rissne
    Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
  • D. Kawa
    Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
  • E. Fiume
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb7c87bc081908ed179d1ca94fa3b completed March 7, 2026, 5:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fda860481909cae9db2dd60aec9 completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:37 p.m.