Triple
T19142141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biur ha-Gra on Shulchan Aruch |
E468583
|
entity |
| Predicate | printedAlongside |
P72194
|
FINISHED |
| Object | Magen Avraham |
—
|
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: Magen Avraham | Statement: [Biur ha-Gra on Shulchan Aruch, printedAlongside, Magen Avraham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magen Avraham Context triple: [Biur ha-Gra on Shulchan Aruch, printedAlongside, Magen Avraham]
-
A.
Magen Avraham
chosen
Magen Avraham is a classic and influential halachic commentary on the Shulchan Aruch, Orach Chaim, authored by Rabbi Avraham Gombiner in the 17th century.
-
B.
Migdal Moshe Aviv
Migdal Moshe Aviv is a prominent skyscraper in Ramat Gan, Israel, known as one of the tallest and most recognizable office and residential towers in the country.
-
C.
Tzur Hadassah
Tzur Hadassah is a community settlement in the Judean Hills of central Israel, located southwest of Jerusalem.
-
D.
Clal Center
Clal Center is a large commercial and office complex in downtown Jerusalem that serves as a major shopping and business hub.
-
E.
Beit Meir
Beit Meir is a religious moshav and small community in the Jerusalem Hills of Israel, known for its scenic surroundings and yeshiva.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e975e09c8190911e98e6e558615d |
completed | April 20, 2026, 8:53 a.m. |
Created at: April 10, 2026, 12:05 p.m.