Triple
T11496946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musabbihat surahs |
E272557
|
entity |
| Predicate | verbRootUsed |
P33904
|
FINISHED |
| Object | root س ب ح (s-b-ḥ) |
—
|
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: root س ب ح (s-b-ḥ) | Statement: [Musabbihat surahs, verbRootUsed, root س ب ح (s-b-ḥ)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verbRootUsed Context triple: [Musabbihat surahs, verbRootUsed, root س ب ح (s-b-ḥ)]
-
A.
verb
Indicates that an entity performs an action or is in a particular state relative to another entity or context.
-
B.
usedInPastBy
Indicates that an entity was previously utilized or employed by another entity at some time in the past.
-
C.
hasRootWord
chosen
Indicates that one linguistic form is derived from, based on, or directly associated with a specified root word.
-
D.
verseForm
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
-
E.
hasPastTenseEnding
Indicates that a verb form ends with a morphological marker typically used to express past tense.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de183f08190abfa36eaabc61dc6 |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.