Triple
T15886633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kal va-chomer |
E385206
|
entity |
| Predicate | documentedIn |
P309
|
FINISHED |
| Object | Sifra |
E102801
|
NE 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: Sifra | Statement: [Kal va-chomer, documentedIn, Sifra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sifra Context triple: [Kal va-chomer, documentedIn, Sifra]
-
A.
Sifra
chosen
Sifra is a classical rabbinic midrash on the Book of Leviticus that systematically expounds its legal (halakhic) passages.
-
B.
Sif
Sif is a goddess in Norse mythology best known as the golden-haired wife of Thor and a deity associated with earth, fertility, and grain.
-
C.
Sifan
Sifan is a Dutch middle- and long-distance runner of Ethiopian origin known for her world titles and Olympic medals across events from 1500m to the marathon.
-
D.
Zeri
Zeri is a small mountainous municipality in the Tuscany region of central Italy, known for its rural landscapes and traditional pastoral culture.
-
E.
Safira
Safira is a feminine given name, often associated with the word "sapphire" and used in various cultures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561b6fb48190adcf8277e1895fda |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa95791a48190abc79a6906672098 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.