Triple

T8526792
Position Surface form Disambiguated ID Type / Status
Subject Southern District, Israel E201837 entity
Predicate containsCity P294 FINISHED
Object Rahat
Rahat is a predominantly Bedouin city in southern Israel, known as the largest Bedouin urban center in the country.
 E741855 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: Rahat | Statement: [Southern District, Israel, containsCity, Rahat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rahat
Context triple: [Southern District, Israel, containsCity, Rahat]
  • A. Rahat
    Rahat is the Hindi name for Operation Rahat, the Indian Air Force–led evacuation mission conducted during the 2015 Yemen crisis.
  • B. Mahmood
    Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
  • C. Madali Khan
    Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
  • D. Latifa
    Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
  • E. Izhar
    Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
  • 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: Rahat
Triple: [Southern District, Israel, containsCity, Rahat]
Generated description
Rahat is a predominantly Bedouin city in southern Israel, known as the largest Bedouin urban center in the country.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rahat
Target entity description: Rahat is a predominantly Bedouin city in southern Israel, known as the largest Bedouin urban center in the country.
  • A. Rahat
    Rahat is the Hindi name for Operation Rahat, the Indian Air Force–led evacuation mission conducted during the 2015 Yemen crisis.
  • B. Mahmood
    Mahmood is a masculine given name of Arabic origin, commonly used in various Muslim-majority cultures and often spelled in multiple variants such as Mahmoud or Mahmud.
  • C. Madali Khan
    Madali Khan was a 19th-century ruler of the Kokand Khanate in Central Asia, known for his efforts to strengthen the state amid regional rivalries and Russian expansion.
  • D. Latifa
    Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
  • E. Izhar
    Izhar is a biblical figure from the Hebrew Bible, known as a Levite and the father of Korah.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
NEDg Description generation batch_69ce6ee1bae4819099ef302138599b34 completed April 2, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69ce6fb93fd88190bc53a925473f9b71 completed April 2, 2026, 1:31 p.m.
Created at: March 30, 2026, 6:16 p.m.