Triple
T21116145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramak |
E520303
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Or Ne’erav |
—
|
NE NERFINISHED |
How this triple was built (2 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: Or Ne’erav | Statement: [Ramak, notableWork, Or Ne’erav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Or Ne’erav Context triple: [Ramak, notableWork, Or Ne’erav]
-
A.
Or Ne’erav
chosen
Or Ne’erav is a foundational Kabbalistic work by Moshe Cordovero that systematically introduces and explains key concepts of Jewish mysticism.
-
B.
Count of Nevers
The Count of Nevers was a medieval French noble title associated with the lordship and later county centered on the town of Nevers in central France.
-
C.
Nekede
Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
-
D.
Nečujam
Nečujam is a small coastal village and popular holiday resort on the island of Šolta in Croatia, known for its tranquil bays and clear Adriatic waters.
-
E.
And Never Said a Word
And Never Said a Word is a postwar German novel by Heinrich Böll that portrays the emotional and economic struggles of a married couple in ruined, divided Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72106a3b48190a0efa51a74ae21f0 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:55 p.m.