Triple

T12950118
Position Surface form Disambiguated ID Type / Status
Subject مجدو E309869 entity
Predicate nearbyCity P350 FINISHED
Object الناصرة
الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
 E1019617 NE FINISHED

How this triple was built (4 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: الناصرة | Statement: [مجدو, nearbyCity, الناصرة]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: الناصرة
Context triple: [مجدو, nearbyCity, الناصرة]
  • A. Sepphoris
    Sepphoris was an important ancient Galilean city in Roman-era Palestine, known as a political and cultural center with a significant Jewish population and notable rabbinic activity.
  • B. مدينة أريحا
    مدينة أريحا هي مدينة فلسطينية تاريخية في غور الأردن تُعد من أقدم مدن العالم المأهولة بالسكان وتشتهر بموقعها الزراعي والسياحي المهم.
  • C. Lydda
    Lydda, historically known as Lod, is an ancient city in central Israel/Palestine that has served as a significant crossroads and administrative center since antiquity.
  • D. Beit She'an
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • E. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: الناصرة
Triple: [مجدو, nearbyCity, الناصرة]
Generated description
الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: الناصرة
Target entity description: الناصرة مدينة تاريخية في الجليل شمال فلسطين/إسرائيل تُعد من أهم المدن المسيحية لارتباطها بسيرة السيد المسيح.
  • A. Sepphoris
    Sepphoris was an important ancient Galilean city in Roman-era Palestine, known as a political and cultural center with a significant Jewish population and notable rabbinic activity.
  • B. مدينة أريحا
    مدينة أريحا هي مدينة فلسطينية تاريخية في غور الأردن تُعد من أقدم مدن العالم المأهولة بالسكان وتشتهر بموقعها الزراعي والسياحي المهم.
  • C. Lydda
    Lydda, historically known as Lod, is an ancient city in central Israel/Palestine that has served as a significant crossroads and administrative center since antiquity.
  • D. Beit She'an
    Beit She'an is an ancient city in northeastern Israel known for its extensive archaeological remains, including a well-preserved Roman-Byzantine ruins complex.
  • E. Banias
    Banias is a coastal city on the Mediterranean Sea in western Syria, known for its oil refinery and port facilities.
  • F. None of above. chosen

Provenance (5 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_69f6d5f2cc588190bb771f999cd5fd46 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d744f0c081909340415fb4951a6e completed May 3, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_69f6d8013e9481908f5edcce7247212d completed May 3, 2026, 5:07 a.m.
Created at: April 9, 2026, 5:43 p.m.