Triple

T15526676
Position Surface form Disambiguated ID Type / Status
Subject Sde Dov Airport E369100 entity
Predicate servedRegion P82 FINISHED
Object northern Israel E18134 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: northern Israel | Statement: [Sde Dov Airport, servedRegion, northern Israel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: northern Israel
Context triple: [Sde Dov Airport, servedRegion, northern Israel]
  • A. Northern District, Israel chosen
    Northern District, Israel is the country’s northernmost administrative region, encompassing parts of the Galilee and Golan Heights and including cities such as Tiberias, Safed, and Nazareth.
  • 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. Southern District, Israel
    Southern District, Israel is the largest and southernmost administrative district of Israel, encompassing the Negev desert and key cities such as Beersheba and Eilat.
  • D. צפון הנגב
    צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
  • E. נגב
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04145178481909fb0339a79d4239e completed April 16, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d598e6c8190870e9249197f5f53 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:05 a.m.