Triple

T1700516
Position Surface form Disambiguated ID Type / Status
Subject Najdi Arabic E36756 entity
Predicate spokenIn P2266 FINISHED
Object Arar
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.
 E196368 NE FINISHED

How this triple was built (4 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: [Najdi Arabic, spokenIn, Arar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arar
Context triple: [Najdi Arabic, spokenIn, Arar]
  • A. 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.
  • B. 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.
  • C. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • D. Ain River
    The Ain River is a significant waterway in eastern France that flows through the Jura and Ain departments before joining the Rhône.
  • E. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arar
Triple: [Najdi Arabic, spokenIn, Arar]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arar
Target entity description: 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.
  • A. 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.
  • B. 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.
  • C. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • D. Ain River
    The Ain River is a significant waterway in eastern France that flows through the Jura and Ain departments before joining the Rhône.
  • E. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • F. None of above. chosen

Provenance (5 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_69a886163dec8190859c514232a37a05 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62d501188190b2e6ebf4d84471da completed March 6, 2026, 5:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0ccf91881909f788d425f66d9eb completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1e13d408190b393c00c331125a2 completed March 8, 2026, 4:20 p.m.
NED2 Entity disambiguation (via description) batch_69ada292a34c8190a566c2909342ab27 completed March 8, 2026, 4:23 p.m.
Created at: March 4, 2026, 7:30 p.m.