Triple
T7328083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Opening |
E168923
|
entity |
| Predicate | positionInPrayer |
P75358
|
FINISHED |
| Object | first surah recited in each rak'ah |
—
|
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: first surah recited in each rak'ah | Statement: [The Opening, positionInPrayer, first surah recited in each rak'ah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInPrayer Context triple: [The Opening, positionInPrayer, first surah recited in each rak'ah]
-
A.
positionInFiveDailyPrayers
Indicates the specific ordinal place that a given prayer occupies within the sequence of the five daily prayers.
-
B.
positionInTemple
Indicates the specific location or role an entity occupies within a temple.
-
C.
positionInAmidah
Indicates the specific location or order of a given element within the sequence of prayers that make up the Amidah.
-
D.
positionInRosary
Indicates the specific sequential place an element occupies within the ordered structure of a rosary.
-
E.
praysAt
Indicates that one entity performs an act of prayer at, or directed toward, a specific place or site.
- F. None of above. chosen
Provenance (4 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a879b88190bef0fb6cbae411ff |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
| PDg | Predicate description generation | batch_69c6e80ae5688190ac3d6c1bdf9532f0 |
completed | March 27, 2026, 8:26 p.m. |
Created at: March 27, 2026, 3:03 p.m.