Triple

T27146794
Position Surface form Disambiguated ID Type / Status
Subject נוף הגליל E681971 entity
Predicate ממוקמת ב P161898 FINISHED
Object מחוז הצפון
מחוז הצפון הוא אחד ממחוזותיה המנהליים של מדינת ישראל, המאופיין בנופים הרריים, אתרי טבע והיסטוריה רבים, וערים ויישובים יהודיים וערביים מגוונים.
 E1756619 NE FINISHED

How this triple was built (3 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: מחוז הצפון | Statement: [נוף הגליל, ממוקמת ב, מחוז הצפון]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: מחוז הצפון
Triple: [נוף הגליל, ממוקמת ב, מחוז הצפון]
Generated description
מחוז הצפון הוא אחד ממחוזותיה המנהליים של מדינת ישראל, המאופיין בנופים הרריים, אתרי טבע והיסטוריה רבים, וערים ויישובים יהודיים וערביים מגוונים.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: ממוקמת ב
Context triple: [נוף הגליל, ממוקמת ב, מחוז הצפון]
  • A. ממוקמת ב chosen
    Indicates that one entity is located or situated within or at the place of another entity.
  • B. מובאים_ב
    Indicates that entities are brought, presented, or introduced within a specified context, location, or medium.
  • C. מאופיין ב
    Indicates that something is characterized or defined by a particular feature, quality, or property.
  • D. מובאים_מן
    Indicates that entities are brought, carried, or transported from a specified source or origin.
  • E. מושפע מ
    Indicates that one entity is affected or influenced by another entity or factor.
  • F. None of above.

Provenance (6 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_69eefacca3888190b67238d380e8f28b completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f624c6dff08190ba0573eba9d63449 completed May 2, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a124827307481909384f4ca460a6489 completed May 24, 2026, 12:36 a.m.
NEDg Description generation batch_6a1249b4849481908a13899b826f6524 completed May 24, 2026, 12:43 a.m.
NED2 Entity disambiguation (via description) batch_6a124a29725c81909909899720a829a9 completed May 24, 2026, 12:45 a.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 9:11 a.m.