Triple
T19082507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | En Sof |
E467065
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | En Sof |
—
|
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: En Sof | Statement: [En Sof, label, En Sof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: En Sof Context triple: [En Sof, label, En Sof]
-
A.
En Sof
chosen
En Sof is a Kabbalistic term for the infinite, unknowable aspect of God that precedes and transcends all creation.
-
B.
La Vera
La Vera is a picturesque comarca in northern Extremadura, Spain, known for its lush landscapes, traditional villages, and production of smoked paprika (pimentón).
-
C.
Santiponce
Santiponce is a municipality in the province of Seville, Spain, known for encompassing the archaeological site of the ancient Roman city of Italica.
-
D.
Ontinyent
Ontinyent is a historic town in eastern Spain known for its textile industry, traditional festivals, and scenic setting along the Clariano River.
-
E.
Pozondón
Pozondón is a small rural municipality in the province of Teruel, Aragon, Spain, known for its highland landscapes and traditional architecture.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.