Triple
T29725226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ספר דברים |
E752161
|
entity |
| Predicate | כינוי |
P37280
|
FINISHED |
| Object | משנה תורה |
—
|
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: משנה תורה | Statement: [ספר דברים, כינוי, משנה תורה]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: כינוי Context triple: [ספר דברים, כינוי, משנה תורה]
-
A.
dedicatedToOrNicknameOf
Indicates that one entity is either the dedicatee of something (e.g., a work, object, or honor) or serves as an alternative name or nickname for another entity.
-
B.
nicknameCoinedIn
Indicates that a particular nickname was first created, introduced, or came into use in a specified time or context.
-
C.
isOfficialNicknameOf
chosen
Indicates that one name is the formally recognized nickname or informal moniker used to refer to another entity.
-
D.
namedAccordingTo
Indicates that one entity is given a name that follows, references, or is derived from another entity or source.
-
E.
nicknameCategory
Indicates that one entity is a nickname and the other entity is the category or type that this nickname belongs to.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f672ff16a08190b8840351bef56f55 |
completed | May 2, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:38 p.m.