Triple
T15351639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramat Hasharon |
E367066
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
רמת השרון
רמת השרון היא עיר במרכז ישראל, השוכנת מצפון לתל אביב ונחשבת לעיר מבוססת ואיכותית עם רמת חיים גבוהה.
|
E1152166
|
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: רמת השרון | Statement: [Ramat Hasharon, hasAlternativeName, רמת השרון]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: רמת השרון Context triple: [Ramat Hasharon, hasAlternativeName, רמת השרון]
-
A.
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.
-
B.
Nahal Sorek
Nahal Sorek is a major stream and valley in central Israel, historically and biblically significant as part of the Judean foothills landscape.
-
C.
Nahal HaKishon
Nahal HaKishon is a major river in northern Israel that flows through the Jezreel Valley to the Mediterranean Sea near Haifa.
-
D.
רמת גן
רמת גן היא עיר במרכז ישראל, הסמוכה לתל אביב, הידועה בריכוז מוסדות הבריאות, הפארקים והמרכזים העסקיים שבה.
-
E.
Nahal Snir
Nahal Snir is a river in northern Israel that forms part of the upper Jordan River system and is known for its nature reserve and hiking trails.
- 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: רמת השרון Triple: [Ramat Hasharon, hasAlternativeName, רמת השרון]
Generated description
רמת השרון היא עיר במרכז ישראל, השוכנת מצפון לתל אביב ונחשבת לעיר מבוססת ואיכותית עם רמת חיים גבוהה.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: רמת השרון Target entity description: רמת השרון היא עיר במרכז ישראל, השוכנת מצפון לתל אביב ונחשבת לעיר מבוססת ואיכותית עם רמת חיים גבוהה.
-
A.
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.
-
B.
Nahal Sorek
Nahal Sorek is a major stream and valley in central Israel, historically and biblically significant as part of the Judean foothills landscape.
-
C.
Nahal HaKishon
Nahal HaKishon is a major river in northern Israel that flows through the Jezreel Valley to the Mediterranean Sea near Haifa.
-
D.
רמת גן
רמת גן היא עיר במרכז ישראל, הסמוכה לתל אביב, הידועה בריכוז מוסדות הבריאות, הפארקים והמרכזים העסקיים שבה.
-
E.
Nahal Snir
Nahal Snir is a river in northern Israel that forms part of the upper Jordan River system and is known for its nature reserve and hiking trails.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e290efc8190b22c95dcd3e5f57f |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fd53688190939787a3d6ff3bb9 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff030970588190a793cd710e819635 |
completed | May 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff04633de08190867ad3baec6b2b02 |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.