Triple
T6718420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maghrib |
E153331
|
entity |
| Predicate | requiresAblution |
P72859
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Maghrib, requiresAblution, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresAblution Context triple: [Maghrib, requiresAblution, yes]
-
A.
isRinseRequired
Indicates that an item or surface must be rinsed, typically with water, as a required step in a process or procedure.
-
B.
waterRequirement
Indicates the amount or conditions of water needed for an entity to grow, function, or be maintained properly.
-
C.
hasBathhouse
Indicates that one entity possesses, contains, or is associated with a bathhouse facility.
-
D.
hasWaterUse
Indicates a relationship where one entity utilizes or consumes water for a particular purpose, process, or function.
-
E.
wetnessLevel
Indicates the degree or intensity of how wet something is in relation to a reference state or scale.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d135d27c819088c45839ad0e7bab |
completed | March 27, 2026, 6:49 p.m. |
| PD | Predicate disambiguation | batch_69c6d08c5d348190a29dee668c398e70 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d11fab808190b18160ff3829fcc6 |
completed | March 27, 2026, 6:49 p.m. |
Created at: March 27, 2026, 2:07 p.m.