Triple
T15804462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musaf of Shemini Atzeret |
E383174
|
entity |
| Predicate | seasonalChange |
P31603
|
FINISHED |
| Object | beginning of Geshem prayer in many rites |
—
|
LITERAL 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: beginning of Geshem prayer in many rites | Statement: [Musaf of Shemini Atzeret, seasonalChange, beginning of Geshem prayer in many rites]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seasonalChange Context triple: [Musaf of Shemini Atzeret, seasonalChange, beginning of Geshem prayer in many rites]
-
A.
hasSeasonalNature
chosen
Indicates that something exhibits characteristics, behavior, or occurrence patterns that vary according to specific seasons or times of the year.
-
B.
season
Indicates that an entity participates in, is associated with, or occurs during a particular season or seasonal period.
-
C.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
D.
seasonMonths
Indicates the set of calendar months during which a given season occurs.
-
E.
summerWinterCycle
Indicates a recurring transition between summer and winter seasons, capturing the cyclical change in conditions or states across these two periods.
- F. None of above.
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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b525b1c08190acffab06d89dbdbe |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.