Triple

T18918931
Position Surface form Disambiguated ID Type / Status
Subject Ras Al Khor E462793 entity
Predicate near P350 FINISHED
Object Nad Al Hamar
Nad Al Hamar is a residential and industrial community in Dubai, United Arab Emirates, known for its strategic location near major roads and key city districts.
E1351838 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: Nad Al Hamar | Statement: [Ras Al Khor, near, Nad Al Hamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nad Al Hamar
Context triple: [Ras Al Khor, near, Nad Al Hamar]
  • A. Ras al-Amud
    Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
  • B. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • C. Al Nairyah
    Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
  • D. Al Sakhama
    Al Sakhama is a village in the Al Daayen Municipality of northeastern Qatar, known as a small residential settlement within the rapidly developing Doha metropolitan area.
  • E. Ghawr al-Mazra'a
    Ghawr al-Mazra'a is a town in southern Jordan situated in the Jordan Valley region of Karak Governorate, known for its agricultural lands and proximity to the Dead Sea.
  • 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: Nad Al Hamar
Triple: [Ras Al Khor, near, Nad Al Hamar]
Generated description
Nad Al Hamar is a residential and industrial community in Dubai, United Arab Emirates, known for its strategic location near major roads and key city districts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nad Al Hamar
Target entity description: Nad Al Hamar is a residential and industrial community in Dubai, United Arab Emirates, known for its strategic location near major roads and key city districts.
  • A. Ras al-Amud
    Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
  • B. Umm al-Ghanam
    Umm al-Ghanam is a village in northern Israel that forms part of the Arab local council of Shibli–Umm al-Ghanam near Mount Tabor.
  • C. Al Nairyah
    Al Nairyah is a town in Saudi Arabia located in the kingdom’s oil-rich Eastern Province.
  • D. Al Sakhama
    Al Sakhama is a village in the Al Daayen Municipality of northeastern Qatar, known as a small residential settlement within the rapidly developing Doha metropolitan area.
  • E. Ghawr al-Mazra'a
    Ghawr al-Mazra'a is a town in southern Jordan situated in the Jordan Valley region of Karak Governorate, known for its agricultural lands and proximity to the Dead Sea.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c629527481909dad169f07df0da4 completed April 20, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad2aaa388190914089d506fbc8e8 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05af1c16d88190824761e4eebae68b completed May 14, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_6a05af5865708190aa8383cffc4eebe9 completed May 14, 2026, 11:17 a.m.
Created at: April 10, 2026, 11:59 a.m.