Triple

T9977497
Position Surface form Disambiguated ID Type / Status
Subject Arar E196368 entity
Predicate hasArabicName P6450 FINISHED
Object عرعر
عرعر هي مدينة تقع في شمال المملكة العربية السعودية وتعد مركزًا إداريًا لمنطقة الحدود الشمالية.
 E831651 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: عرعر | Statement: [Arar, hasArabicName, عرعر]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: عرعر
Context triple: [Arar, hasArabicName, عرعر]
  • A. Cor
    Cor is a common Dutch diminutive or short form of the given name Cornelis.
  • B. ar
    ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • C. Contin
    Contin is a small village and historic parish in the Highland council area of Scotland, situated near the River Black Water and known as a gateway to the surrounding glens and lochs.
  • D. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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: عرعر
Triple: [Arar, hasArabicName, عرعر]
Generated description
عرعر هي مدينة تقع في شمال المملكة العربية السعودية وتعد مركزًا إداريًا لمنطقة الحدود الشمالية.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: عرعر
Target entity description: عرعر هي مدينة تقع في شمال المملكة العربية السعودية وتعد مركزًا إداريًا لمنطقة الحدود الشمالية.
  • A. Cor
    Cor is a common Dutch diminutive or short form of the given name Cornelis.
  • B. ar
    ar is a Unix utility for creating, modifying, and extracting from archive files, commonly used to build and manage static libraries.
  • C. Contin
    Contin is a small village and historic parish in the Highland council area of Scotland, situated near the River Black Water and known as a gateway to the surrounding glens and lochs.
  • D. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • E. ARE
    ARE is a professional licensure examination for architects in the United States that assesses candidates’ knowledge and skills required for independent practice.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84ef8ac8190abbe78b7611c5309 completed April 2, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dec07b48190a2c15a748324291b completed April 5, 2026, 10:48 a.m.
NEDg Description generation batch_69d23f41483481909af8bfac4cf1329a completed April 5, 2026, 10:53 a.m.
NED2 Entity disambiguation (via description) batch_69d23f94c27c8190b10c813bbdb2b7e9 completed April 5, 2026, 10:55 a.m.
Created at: March 30, 2026, 8:48 p.m.