Triple
T11564240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makhtesh Ramon |
E274213
|
entity |
| Predicate | HebrewName |
P1435
|
FINISHED |
| Object | מכתש רמון |
E647323
|
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: מכתש רמון | Statement: [Makhtesh Ramon, HebrewName, מכתש רמון]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: מכתש רמון Context triple: [Makhtesh Ramon, HebrewName, מכתש רמון]
-
A.
מכתש רמון
chosen
מכתש רמון הוא מכתש ענק וייחודי בנגב הישראלי, הנחשב לאתר גאולוגי ונופי מרשים ומוקד מרכזי לטיולים ותיירות מדברית.
-
B.
Sefer ha-Rimon
Sefer ha-Rimon is a Jewish mystical and ethical work by the 13th-century Kabbalist Moses de León, best known as the principal author of the Zohar.
-
C.
Hasagot HaRamban
Hasagot HaRamban is Nachmanides’ critical glosses on Maimonides’ Sefer HaMitzvot, in which he analyzes and often disputes Rambam’s enumeration of the Torah’s commandments.
-
D.
Sha'ar Ha'ashpot
Sha'ar Ha'ashpot, better known in English as the Dung Gate, is one of the historic entrances to Jerusalem’s Old City, located near the Western Wall and the Jewish Quarter.
-
E.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd321f88190a57ecaf079fbbc3f |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6e8b1a67481909a05105728acc358 |
completed | April 21, 2026, 3:02 a.m. |
Created at: April 8, 2026, 9:37 p.m.