Triple

T11789421
Position Surface form Disambiguated ID Type / Status
Subject Green Line (Israel) E280350 entity
Predicate languageLabel P50222 FINISHED
Object קו ירוק
קו ירוק הוא הכינוי לקו שביתת הנשק שנקבע לאחר מלחמת העצמאות של ישראל ב-1949, אשר שימש במשך שנים כגבול דה-פקטו בין ישראל לשכנותיה.
 E946581 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: קו ירוק | Statement: [Green Line (Israel), languageLabel, קו ירוק]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: קו ירוק
Context triple: [Green Line (Israel), languageLabel, קו ירוק]
  • A. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • B. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • C. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • D. Línia verda
    Línia verda is the common Catalan name for Line 3 of the Barcelona Metro, a major rapid transit line running through central Barcelona.
  • E. Línia groga
    Línia groga is the common Catalan name for Line 4 of the Barcelona Metro, a rapid transit line serving several central and coastal neighborhoods of the city.
  • 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: קו ירוק
Triple: [Green Line (Israel), languageLabel, קו ירוק]
Generated description
קו ירוק הוא הכינוי לקו שביתת הנשק שנקבע לאחר מלחמת העצמאות של ישראל ב-1949, אשר שימש במשך שנים כגבול דה-פקטו בין ישראל לשכנותיה.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: קו ירוק
Target entity description: קו ירוק הוא הכינוי לקו שביתת הנשק שנקבע לאחר מלחמת העצמאות של ישראל ב-1949, אשר שימש במשך שנים כגבול דה-פקטו בין ישראל לשכנותיה.
  • A. The Green
    The Green is a small rural settlement in Cumbria, England, situated near the town of Millom in the southwestern Lake District area.
  • B. The Green
    The Green is a historic central park and community gathering space located in downtown Morristown, New Jersey.
  • C. The Green
    The Green is a historic central public square in Dover, Delaware, known for its colonial-era buildings and role in early American political and civic life.
  • D. Línia verda
    Línia verda is the common Catalan name for Line 3 of the Barcelona Metro, a major rapid transit line running through central Barcelona.
  • E. Línia groga
    Línia groga is the common Catalan name for Line 4 of the Barcelona Metro, a rapid transit line serving several central and coastal neighborhoods of the city.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a587c2d881909297c3a6c7d26080 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090f62bdc8190a8fd145839aef554 completed April 28, 2026, 10:50 a.m.
NEDg Description generation batch_69f0bd3f39608190b29027b30664bd9c completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef5afd448190953b5d9929478132 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.