Triple
T3142331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amidah |
E65678
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Musaf |
E25591
|
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: Musaf | Statement: [Amidah, partOf, Musaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musaf Context triple: [Amidah, partOf, Musaf]
-
A.
Musaf
chosen
Musaf is an additional Jewish prayer service recited on Sabbaths and festivals, featuring special liturgy that reflects the unique themes and offerings of the day.
-
B.
Sahnun
Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
-
C.
Tolba Marzuq
Tolba Marzuq is a character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse boarders at the Alexandria pension whose interactions reflect Egypt’s social and political tensions in the 1960s.
-
D.
Mahmoud
Mahmoud is a common Arabic male given name widely used across the Middle East and Muslim-majority countries.
-
E.
Hasana
Hasana is a small town in Egypt’s North Sinai Governorate, situated in the Sinai Peninsula.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada579b07c8190a7b316f499911a2d |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224e9029c8190bd88dbb18b5f71a8 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:05 p.m.