Triple
T430947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shulchan Aruch |
E9710
|
entity |
| Predicate | placeWritten |
P1144
|
FINISHED |
| Object | Safed |
E4532
|
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: Safed | Statement: [Shulchan Aruch, placeWritten, Safed]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Safed Context triple: [Shulchan Aruch, placeWritten, Safed]
-
A.
Safed
chosen
Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
-
B.
Bat Yam
Bat Yam is a coastal city in central Israel, located just south of Tel Aviv along the Mediterranean Sea.
-
C.
Yokneam Illit
Yokneam Illit is a city in northern Israel known for its high-tech industrial parks and rapid development from a small town into a regional technology hub.
-
D.
Herzliya
Herzliya is a coastal city in central Israel known as a high-tech and academic hub, home to major technology companies and institutions.
-
E.
Beersheba
Beersheba is a major city in southern Israel, often regarded as the "Capital of the Negev" and known for its historical significance and rapid modern development.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeef065c81908ed30528a61da132 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a424e0d88190b0ad5d0827b762ae |
completed | March 1, 2026, 8:40 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.