Triple
T34568531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | נעמי |
E887557
|
entity |
| Predicate | isReligiousContextName |
P146129
|
FINISHED |
| Object | יהדות |
—
|
LITERAL FINISHED |
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: יהדות | Statement: [נעמי, isReligiousContextName, יהדות]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isReligiousContextName Context triple: [נעמי, isReligiousContextName, יהדות]
-
A.
hasReligiousName
chosen
Indicates that an entity possesses a name specifically associated with a religious context, role, or tradition.
-
B.
hasReligiousAffiliationInName
Indicates that an entity’s name explicitly includes or reflects a religious affiliation or association.
-
C.
originReligionContext
Indicates the religious background or setting from which something or someone originates or is derived.
-
D.
religiousCulturalContext
Indicates the religious or cultural setting, tradition, or framework within which an entity, practice, or event occurs or is interpreted.
-
E.
hasReligiousType
Indicates that an entity is associated with or classified under a particular religion or religious category.
- F. None of above.
Provenance (3 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_69f349d1a5fc81908557a46875b2f157 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7234bcaa48190ac970759d34e254a |
completed | May 3, 2026, 10:28 a.m. |
| PD | Predicate disambiguation | batch_69f72155c48881909bd40b9aa3febd5a |
completed | May 3, 2026, 10:20 a.m. |
Created at: May 1, 2026, 2:02 a.m.