Triple

T14082673
Position Surface form Disambiguated ID Type / Status
Subject Kerem Shalom E338905 entity
Predicate locatedIn P40 FINISHED
Object Negev E52188 NE FINISHED

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: Negev | Statement: [Kerem Shalom, locatedIn, Negev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Negev
Context triple: [Kerem Shalom, locatedIn, Negev]
  • A. Negev desert chosen
    The Negev desert is a vast arid region in southern Israel known for its stark landscapes, sparse population, and significant historical and strategic importance.
  • B. 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.
  • C. נגב
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • D. Judean Desert
    The Judean Desert is a rugged, arid region in eastern Israel and the West Bank, known for its steep canyons, dramatic cliffs, and historical sites overlooking the Dead Sea.
  • E. Tihama
    Tihama is a hot, low-lying coastal plain along the Red Sea, primarily in western Yemen and southwestern Saudi Arabia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0a3e55c81909b52f618e9076dd2 completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:21 p.m.