Triple
T15004491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | administration of Akbar |
E377673
|
entity |
| Predicate | numberOfSubahs |
P116320
|
FINISHED |
| Object | 15 |
—
|
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: 15 | Statement: [administration of Akbar, numberOfSubahs, 15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfSubahs Context triple: [administration of Akbar, numberOfSubahs, 15]
-
A.
numberOfRakats
Indicates the specific count of prayer units (rakats) associated with a given prayer or ritual act.
-
B.
numberOfSurahs
Indicates the total count of surahs associated with a given entity (such as a text, section, or collection).
-
C.
numberOfImams
Indicates the count of distinct imams associated with or relevant to a given entity or context.
-
D.
numberOfTraversalsInHajjSa'i
Indicates the count of times a person moves back and forth between the designated points in the Sa'i ritual during Hajj.
-
E.
numberOfDailyPrayers
Indicates the specific count of prayers that are performed each day.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:54 a.m.