Triple

T7681907
Position Surface form Disambiguated ID Type / Status
Subject Nazareth Illit E174015 entity
Predicate hebrewName P6449 FINISHED
Object נוף הגליל E195862 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: נוף הגליל | Statement: [Nazareth Illit, hebrewName, נוף הגליל]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: נוף הגליל
Context triple: [Nazareth Illit, hebrewName, נוף הגליל]
  • A. Nof HaGalil chosen
    Nof HaGalil is an Israeli city in the Galilee region, established as a Jewish suburb of Nazareth and later renamed to reflect its scenic hilltop location.
  • B. נגב
    נגב הוא אזור מדברי רחב ידיים בדרום ישראל, המאופיין בנופים צחיחים, שמורות טבע ויישובים חלוציים.
  • C. Galili
    Galili is a Hebrew-language surname borne by various Israeli public figures, including politicians and military leaders.
  • D. Yamit region
    The Yamit region was an Israeli-developed settlement area in the northeastern Sinai Peninsula that became a focal point of controversy and evacuation prior to Israel’s withdrawal from Sinai in the early 1980s.
  • 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.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b4fa4f9c8190a1cd2c1aa173296d completed March 29, 2026, 5:13 a.m.
Created at: March 27, 2026, 4:01 p.m.