Triple

T17067154
Position Surface form Disambiguated ID Type / Status
Subject Muscat road network E414116 entity
Predicate connects P390 FINISHED
Object Azaiba
Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beaches, proximity to the airport, and location along major city roads.
 E1248064 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: Azaiba | Statement: [Muscat road network, connects, Azaiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Azaiba
Context triple: [Muscat road network, connects, Azaiba]
  • A. Azhara
    Azhara is a small village located in Georgia’s scenic Kodori Gorge region.
  • B. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • 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. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • E. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • 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: Azaiba
Triple: [Muscat road network, connects, Azaiba]
Generated description
Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beaches, proximity to the airport, and location along major city roads.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Azaiba
Target entity description: Azaiba is a coastal residential and commercial district in Muscat, Oman, known for its beaches, proximity to the airport, and location along major city roads.
  • A. Azhara
    Azhara is a small village located in Georgia’s scenic Kodori Gorge region.
  • B. Razihi
    Razihi is a highly divergent Arabic-related language spoken by a small community in the mountainous Jabal Razih region of northwestern Yemen.
  • 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. Unaizah
    Unaizah is a historic oasis city in central Saudi Arabia’s Qassim region, known for its date farms, traditional markets, and cultural heritage.
  • E. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbddd708190a6192466b7dfd606 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123509e1481908cfc304b02fe8632 completed May 11, 2026, 12:31 a.m.
NEDg Description generation batch_6a012533f9a8819096ab9b821c848dd2 completed May 11, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0125dead2481908a5c26bda5a7cd1f completed May 11, 2026, 12:42 a.m.
Created at: April 10, 2026, 5:34 a.m.