Ramah
E344848
Ramah is an ancient town in the central highlands of Israel, frequently mentioned in the Hebrew Bible for its strategic location and association with several key prophetic and historical events.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ramah canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3278411 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramah Context triple: [Gibeah, nearbyCity, Ramah]
-
A.
Kfar Nahum
Kfar Nahum is the modern Israeli site identified with the ancient fishing village of Capernaum on the northwestern shore of the Sea of Galilee, known for its significant New Testament associations.
-
B.
Libnah
Libnah was a woman of the royal family of Judah, known primarily as the wife of King Josiah and the mother of King Zedekiah.
-
C.
Givat Shaul
Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
-
D.
Riblah
Riblah was an ancient town in Syria that served as a strategic military and administrative headquarters, notably used by the Babylonian king Nebuchadnezzar during the final conquest of Judah.
-
E.
Yokneam Illit
Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ramah Target entity description: Ramah is an ancient town in the central highlands of Israel, frequently mentioned in the Hebrew Bible for its strategic location and association with several key prophetic and historical events.
-
A.
Kfar Nahum
Kfar Nahum is the modern Israeli site identified with the ancient fishing village of Capernaum on the northwestern shore of the Sea of Galilee, known for its significant New Testament associations.
-
B.
Libnah
Libnah was a woman of the royal family of Judah, known primarily as the wife of King Josiah and the mother of King Zedekiah.
-
C.
Givat Shaul
Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
-
D.
Riblah
Riblah was an ancient town in Syria that served as a strategic military and administrative headquarters, notably used by the Babylonian king Nebuchadnezzar during the final conquest of Judah.
-
E.
Yokneam Illit
Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
ancient town
ⓘ
biblical location ⓘ |
| associatedWith |
King Asa of Judah
ⓘ
linked to:
Asa of Judah
King Baasha of Israel ⓘ King Saul ⓘ Nebuzaradan ⓘ Rachel ⓘ prophet Hosea ⓘ
linked to:
Hosea
prophet Jeremiah ⓘ prophet Samuel ⓘ |
| birthplaceOrHomeOf | prophet Samuel ⓘ |
| country |
ancient Israel
ⓘ
linked to:
Ancient Israel
|
| event |
assembly point for exiles after fall of Jerusalem
ⓘ
dismantling of Baasha’s fortifications by King Asa of Judah ⓘ fortification by King Baasha of Israel ⓘ lamentation described by prophet Jeremiah ⓘ military confrontations between Israel and Judah ⓘ |
| governedBy |
Kingdom of Israel (united monarchy)
ⓘ
Kingdom of Judah (border town context) ⓘ
linked to:
Kingdom of Judah
tribe of Benjamin ⓘ |
| hasLanguageOfSources |
Biblical Hebrew
ⓘ
linked to:
Hebrew
|
| locatedIn | central highlands of Israel ⓘ |
| mentionedIn |
Book of Hosea
ⓘ
Book of Jeremiah ⓘ Book of Joshua ⓘ Book of Judges ⓘ
linked to:
Judges
First Book of Kings ⓘ
linked to:
1 Kings
First Book of Samuel ⓘ
linked to:
1 Samuel
Hebrew Bible ⓘ
linked to:
Tanakh
Second Book of Chronicles ⓘ
linked to:
2 Chronicles
Second Book of Samuel ⓘ
linked to:
2 Samuel
|
| modernIdentification | often identified with er-Ram north of Jerusalem (proposed) ⓘ |
| near |
Bethel
ⓘ
Gibeah ⓘ Jerusalem ⓘ |
| region |
hill country of Benjamin
ⓘ
southern Levant ⓘ |
| religiousTradition |
Christianity
ⓘ
Judaism ⓘ |
| roleInText |
border town between northern and southern kingdoms
ⓘ
site of prophetic activity ⓘ symbolic place of mourning and lament ⓘ |
| strategicImportance | on a main north–south route in the hill country of Benjamin ⓘ |
| symbolism |
place where Rachel weeps for her children
ⓘ
site representing suffering of exiles ⓘ |
| timePeriod |
First Temple period
ⓘ
Iron Age Levant ⓘ |
| tribalTerritory | tribe of Benjamin ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Ramah Description of subject: Ramah is an ancient town in the central highlands of Israel, frequently mentioned in the Hebrew Bible for its strategic location and association with several key prophetic and historical events.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.