Triple
T30617601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | בְּצַלְאֵל |
E779354
|
entity |
| Predicate | מוזכר בפרקים |
P131676
|
FINISHED |
| Object | שמות ל"א |
—
|
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: שמות ל"א | Statement: [בְּצַלְאֵל, מוזכר בפרקים, שמות ל"א]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מוזכר בפרקים Context triple: [בְּצַלְאֵל, מוזכר בפרקים, שמות ל"א]
-
A.
includedInBook
Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
-
B.
documentedInBook
Indicates that information about an entity is recorded or described within a particular book.
-
C.
mentionedInParva
chosen
Indicates that something is referenced or discussed within a specific parva (section or book) of a larger text.
-
D.
ذُكر_في
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
E.
basedInSeries
Indicates that one entity is set, located, or primarily takes place within the narrative world or context of a particular series.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689eca0348190a4f8e54e0a56f797 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:26 p.m.