Triple
T6335567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yom Kippur prayers |
E142481
|
entity |
| Predicate | includesService |
P1393
|
FINISHED |
| Object | Ne’ilah |
E332541
|
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: Ne’ilah | Statement: [Yom Kippur prayers, includesService, Ne’ilah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ne’ilah Context triple: [Yom Kippur prayers, includesService, Ne’ilah]
-
A.
Ne’ilah
chosen
Ne’ilah is the concluding prayer service of Yom Kippur, marked by a final, intense plea for divine mercy as the Day of Atonement ends.
-
B.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
-
C.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
D.
Vehi She’amda
Vehi She’amda is a central passage in the Passover Haggadah that praises God’s ongoing protection of the Jewish people throughout history despite repeated persecutions.
-
E.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0654a88a881908d5cb2aa7f22c4c7 |
completed | March 22, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6042ab22c8190a7486049f45a546b |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.