Triple

T12950051
Position Surface form Disambiguated ID Type / Status
Subject מגידו E309868 entity
Predicate locatedIn P40 FINISHED
Object צפון ישראל 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: צפון ישראל | Statement: [מגידו, locatedIn, צפון ישראל]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: צפון ישראל
Context triple: [מגידו, locatedIn, צפון ישראל]
  • A. צפון הנגב
    צפון הנגב הוא אזור גאוגרפי-מדברי בדרום ישראל המאופיין בנוף צחיח, יישובים כפריים ואתרי טבע והיסטוריה רבים.
  • B. 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.
  • C. נגב
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • D. Shomron
    Shomron is the Hebrew name for Samaria, the ancient biblical region and former capital of the northern Kingdom of Israel.
  • E. 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.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1dc4c88190ab27b832d6a7c556 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af7790808190826f98e8aff01523 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.