Triple
T10877576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | חול המועד |
E256838
|
entity |
| Predicate | חל |
P96193
|
FINISHED |
| Object | בין יום טוב ראשון ליום טוב אחרון של החג |
—
|
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: בין יום טוב ראשון ליום טוב אחרון של החג | Statement: [חול המועד, חל, בין יום טוב ראשון ליום טוב אחרון של החג]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: חל Context triple: [חול המועד, חל, בין יום טוב ראשון ליום טוב אחרון של החג]
-
A.
née
Indicates that a person’s original birth name, typically a maiden name, is being specified before it was changed (for example, by marriage).
-
B.
czechName
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
C.
aka
Indicates that one entity is also known by an alternative name or alias that refers to the same thing.
-
D.
זמנם
Indicates a relationship involving the time allotted to, belonging to, or associated with certain entities (e.g., “their time”).
-
E.
عاصر
Indicates that one entity lived in the same historical period or was a contemporary of another entity.
- 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.