Triple
T6173610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ma’ariv |
E137763
|
entity |
| Predicate | recitedAfter |
P28361
|
FINISHED |
| Object | nightfall |
—
|
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: nightfall | Statement: [Ma’ariv, recitedAfter, nightfall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitedAfter Context triple: [Ma’ariv, recitedAfter, nightfall]
-
A.
recitedOnOccasion
Indicates that something (typically a text, speech, or performance) was recited during or in connection with a specific occasion or event.
-
B.
recites
Indicates that one entity verbally delivers or repeats from memory the words, text, or performance associated with another entity.
-
C.
notRecitedOn
Indicates that a particular text, prayer, or recitation was not performed or spoken on a specified occasion, time, or context.
-
D.
traditionallySungAfter
Indicates that one song or musical piece is customarily performed immediately following another in a cultural or traditional sequence.
-
E.
recitationRecommendedAfter
chosen
Indicates that one item is advised or suggested to be recited after another in a recommended sequence.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d94c47481909745b2533926a1ca |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.