Triple
T26138533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misbaha |
E659448
|
entity |
| Predicate | usedToCount |
P55908
|
FINISHED |
| Object | Alhamdulillah recitations |
—
|
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: Alhamdulillah recitations | Statement: [Misbaha, usedToCount, Alhamdulillah recitations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToCount Context triple: [Misbaha, usedToCount, Alhamdulillah recitations]
-
A.
areCountedBy
chosen
Indicates that one entity serves as the counting mechanism, record, or process by which the quantity of another entity is determined.
-
B.
usedOver
Indicates that one entity has been utilized, applied, or consumed in relation to another entity, typically as a resource, medium, or tool in a particular context or period.
-
C.
usesCounterLength
Indicates that one entity determines or measures something based on the length of a counter value.
-
D.
usedToMark
Indicates that one entity serves as a marker, label, or indicator for another entity.
-
E.
usedAt
Indicates that something is employed, applied, or utilized at a particular place, time, or context.
- 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:18 p.m.