Triple

T18165437
Position Surface form Disambiguated ID Type / Status
Subject ערבה E434880 entity
Predicate locatedIn P40 FINISHED
Object דרום ארץ ישראל NE NERFINISHED

How this triple was built (2 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: דרום ארץ ישראל | Statement: [ערבה, locatedIn, דרום ארץ ישראל]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: דרום ארץ ישראל
Context triple: [ערבה, locatedIn, דרום ארץ ישראל]
  • A. Arava region
    The Arava region is a sparsely populated desert valley in southern Israel, stretching between the Dead Sea and the Red Sea and known for its unique arid landscapes and agricultural communities.
  • B. Shephelah
    Shephelah is a lowland region in central Israel characterized by rolling hills and valleys between the Judean Mountains and the coastal plain.
  • C. מרכז הארץ
    מרכז הארץ הוא אזור גאוגרפי במרכז מדינת ישראל הכולל ריכוז גבוה של אוכלוסייה, תעסוקה ותשתיות תחבורה.
  • D. נגב chosen
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • E. Shomron
    Shomron is the Hebrew name for Samaria, the ancient biblical region and former capital of the northern Kingdom of Israel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dec71b7881908d123d0cea3adf1f completed April 19, 2026, 1:55 p.m.
Created at: April 10, 2026, 10:30 a.m.