Triple

T7184095
Position Surface form Disambiguated ID Type / Status
Subject שדה בוקר E167524 entity
Predicate region P40 FINISHED
Object צפון הנגב
צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
 E647327 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: צפון הנגב | Statement: [שדה בוקר, region, צפון הנגב]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: צפון הנגב
Context triple: [שדה בוקר, region, צפון הנגב]
  • A. Northern Jordan
    Northern Jordan is a geographic region of Jordan encompassing cities like Irbid and known for its relatively fertile highlands and proximity to the Syrian border.
  • B. Shomron
    Shomron is the Hebrew name for Samaria, the ancient biblical region and former capital of the northern Kingdom of Israel.
  • C. Southern Palestine
    Southern Palestine is a historical region in the southern part of the broader Palestine area, encompassing towns such as Deir al-Balah along the Mediterranean coastal plain.
  • D. Shephelah
    Shephelah is a lowland region in central Israel characterized by rolling hills and valleys between the Judean Mountains and the coastal plain.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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: צפון הנגב
Triple: [שדה בוקר, region, צפון הנגב]
Generated description
צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: צפון הנגב
Target entity description: צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
  • A. Northern Jordan
    Northern Jordan is a geographic region of Jordan encompassing cities like Irbid and known for its relatively fertile highlands and proximity to the Syrian border.
  • B. Shomron
    Shomron is the Hebrew name for Samaria, the ancient biblical region and former capital of the northern Kingdom of Israel.
  • C. Southern Palestine
    Southern Palestine is a historical region in the southern part of the broader Palestine area, encompassing towns such as Deir al-Balah along the Mediterranean coastal plain.
  • D. Shephelah
    Shephelah is a lowland region in central Israel characterized by rolling hills and valleys between the Judean Mountains and the coastal plain.
  • E. Gush Dan
    Gush Dan is the densely populated metropolitan area centered around Tel Aviv on Israel’s Mediterranean coast, encompassing numerous surrounding cities and suburbs.
  • 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_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8de114c8190ad8fde0654526482 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b94b058481909da9d5b21a5201de completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9e55f84819099af471a65bb68aa completed March 28, 2026, 11:22 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba9317548190946e21c2731d58a7 completed March 28, 2026, 11:25 a.m.
Created at: March 27, 2026, 2:49 p.m.