Triple

T796870
Position Surface form Disambiguated ID Type / Status
Subject Business Bay E17041 entity
Predicate adjacentTo P224 FINISHED
Object Al Quoz
Al Quoz is an industrial and residential district in western Dubai known for its warehouses, factories, and growing arts and cultural scene.
 E99075 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: Al Quoz | Statement: [Business Bay, adjacentTo, Al Quoz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Al Quoz
Context triple: [Business Bay, adjacentTo, Al Quoz]
  • A. Zaria
    Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
  • B. Al-Awja
    Al-Awja is a small village near Tikrit in northern Iraq, best known as the birthplace and burial site of former Iraqi president Saddam Hussein.
  • C. Zarqa
    Zarqa is a large industrial city in northeastern Jordan known for its factories, military presence, and role as a key economic hub.
  • D. Yanbu
    Yanbu is a coastal city in western Saudi Arabia on the Red Sea, known as an industrial and port hub in the Medina Province.
  • E. Kufa
    Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
  • 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: Al Quoz
Triple: [Business Bay, adjacentTo, Al Quoz]
Generated description
Al Quoz is an industrial and residential district in western Dubai known for its warehouses, factories, and growing arts and cultural scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Al Quoz
Target entity description: Al Quoz is an industrial and residential district in western Dubai known for its warehouses, factories, and growing arts and cultural scene.
  • A. Zaria
    Zaria is a historic city in northern Nigeria known as an important center of Hausa culture, Islamic scholarship, and trade.
  • B. Al-Awja
    Al-Awja is a small village near Tikrit in northern Iraq, best known as the birthplace and burial site of former Iraqi president Saddam Hussein.
  • C. Zarqa
    Zarqa is a large industrial city in northeastern Jordan known for its factories, military presence, and role as a key economic hub.
  • D. Yanbu
    Yanbu is a coastal city in western Saudi Arabia on the Red Sea, known as an industrial and port hub in the Medina Province.
  • E. Kufa
    Kufa is an ancient Iraqi city that became an early Islamic cultural and religious center, historically renowned as a hub of scholarship and calligraphy.
  • 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_69a49378b9c48190adbf5f62e5b7aca1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7b172e88190a26d31c9075b81fb completed March 1, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69a792892a588190b15b0cb95c431084 completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a79335d99c819098c72e7a86ad1130 completed March 4, 2026, 2:04 a.m.
NED2 Entity disambiguation (via description) batch_69a793c612d88190bce254142bd75f67 completed March 4, 2026, 2:07 a.m.
Created at: March 1, 2026, 7:38 p.m.