Triple
T7209262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayit Chadash |
E148755
|
entity |
| Predicate | traditionCategory |
P70824
|
FINISHED |
| Object | Acharonim literature |
—
|
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: Acharonim literature | Statement: [Bayit Chadash, traditionCategory, Acharonim literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionCategory Context triple: [Bayit Chadash, traditionCategory, Acharonim literature]
-
A.
traditionClassification
chosen
Indicates how a given item, practice, or concept is categorized within a particular tradition or system of traditions.
-
B.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
-
C.
cultOrTradition
Indicates that one entity is a cult or tradition associated with, practiced by, or characterizing another entity.
-
D.
traditionIncludes
Indicates that a particular tradition encompasses, contains, or is composed of a specified element, practice, or component.
-
E.
languageTraditions
Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
- 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e96c46dc819080a6b40456d7b068 |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e75f84e481909e7866186ae80cff |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:52 p.m.