Triple
T3001590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gog of the land of Magog |
E81799
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Cush
Cush is an ancient biblical region and people, often identified with areas south of Egypt such as Nubia or Ethiopia.
|
E319255
|
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: Cush | Statement: [Gog of the land of Magog, associatedWith, Cush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cush Context triple: [Gog of the land of Magog, associatedWith, Cush]
-
A.
Maashees
Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
-
B.
Mooré
Mooré is a major Gur language spoken primarily by the Mossi people of Burkina Faso and neighboring West African countries.
-
C.
Zellig
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
-
D.
Tahawus
Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
-
E.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
- 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: Cush Triple: [Gog of the land of Magog, associatedWith, Cush]
Generated description
Cush is an ancient biblical region and people, often identified with areas south of Egypt such as Nubia or Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cush Target entity description: Cush is an ancient biblical region and people, often identified with areas south of Egypt such as Nubia or Ethiopia.
-
A.
Maashees
Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
-
B.
Mooré
Mooré is a major Gur language spoken primarily by the Mossi people of Burkina Faso and neighboring West African countries.
-
C.
Zellig
Zellig is a given name most notably borne by Zellig Harris, an influential American linguist known for his work in structural linguistics and discourse analysis.
-
D.
Tahawus
Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
-
E.
Hamutal
Hamutal was a queen of Judah, known as the mother of the last king of Judah, Zedekiah, during the final years before the Babylonian exile.
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a11b4bc81909ce06121361b4e0f |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e4f02248190890eb3944299bd15 |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b12eb153b481909251dd72a7ca55d4 |
completed | March 11, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1d65c9550819081e8734cece6ff13 |
completed | March 11, 2026, 8:53 p.m. |
Created at: March 8, 2026, 2:59 p.m.