Triple
T10877567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | חול המועד |
E256838
|
entity |
| Predicate | מאופיין ב |
P96190
|
FINISHED |
| Object | שילוב דיני חג עם דיני חול |
—
|
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: שילוב דיני חג עם דיני חול | Statement: [חול המועד, מאופיין ב, שילוב דיני חג עם דיני חול]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מאופיין ב Context triple: [חול המועד, מאופיין ב, שילוב דיני חג עם דיני חול]
-
A.
מובאים_מן
Indicates that entities are brought, carried, or transported from a specified source or origin.
-
B.
מובאים_ב
Indicates that entities are brought, presented, or introduced within a specified context, location, or medium.
-
C.
מובאים_אל
Indicates that entities are being brought or transported to a particular destination or recipient.
-
D.
מובאים_על_ידי
Indicates that something or someone is brought, presented, or conveyed by a particular agent or source.
-
E.
باب
Indicates a relationship where one entity serves as a door, gate, or entry point to another entity, allowing or controlling access between them.
- F. None of above. chosen
Provenance (4 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751ad8cdc819093eafaf12fc23b15 |
completed | April 9, 2026, 7:13 a.m. |
| PD | Predicate disambiguation | batch_69d70d360c388190a3d829fe8862434f |
completed | April 9, 2026, 2:21 a.m. |
| PDg | Predicate description generation | batch_69d7101de31c819090707635f6790559 |
completed | April 9, 2026, 2:34 a.m. |
Created at: April 8, 2026, 9:21 p.m.