Triple

T1836430
Position Surface form Disambiguated ID Type / Status
Subject Riyadh Province E41077 entity
Predicate contains P35 FINISHED
Object Afif
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
 E205235 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: Afif | Statement: [Riyadh Province, contains, Afif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Afif
Context triple: [Riyadh Province, contains, Afif]
  • A. Anif
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • B. Nafe
    Nafe is an indigenous Oceanic language spoken in Vanuatu.
  • C. Azara
    Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
  • D. Alif
    Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
  • E. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • 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: Afif
Triple: [Riyadh Province, contains, Afif]
Generated description
Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Afif
Target entity description: Afif is a town in central Saudi Arabia known as an inland community within the Riyadh administrative region.
  • A. Anif
    Anif is a small Austrian municipality near Salzburg, known for its historic castle and as a residence of notable figures.
  • B. Nafe
    Nafe is an indigenous Oceanic language spoken in Vanuatu.
  • C. Azara
    Azara is a suburban locality on the outskirts of Guwahati in Assam, India, known for hosting the city's main international airport and related transport infrastructure.
  • D. Alif
    Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
  • E. Abasha
    Abasha is a small town in western Georgia’s Samegrelo region, known as a local administrative and cultural center.
  • 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_69a88647f9388190909bc36e795bdaec completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb028226481908558c11449e1d6b6 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69adc9b6dc9481908a83e60aee326bc4 completed March 8, 2026, 7:10 p.m.
NEDg Description generation batch_69adcaef04e88190a88f789a6370bafb completed March 8, 2026, 7:15 p.m.
NED2 Entity disambiguation (via description) batch_69adcb8e053c819082a3d4b36afe35be completed March 8, 2026, 7:18 p.m.
Created at: March 4, 2026, 7:33 p.m.