Triple
T3586708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Falaq |
E75926
|
entity |
| Predicate | verse3Focus |
P48413
|
FINISHED |
| Object | evil of darkness when it settles |
—
|
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: evil of darkness when it settles | Statement: [Surah Al-Falaq, verse3Focus, evil of darkness when it settles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verse3Focus Context triple: [Surah Al-Falaq, verse3Focus, evil of darkness when it settles]
-
A.
verse3
chosen
Indicates a relationship where one entity is the third verse or stanza associated with another entity, such as a song, poem, or scripture passage.
-
B.
keyVerse
Indicates that one verse is designated as the central or most thematically important verse in relation to a text, passage, or concept.
-
C.
verse2
Indicates that one entity is the second verse or stanza associated with another entity, typically within a structured text like a song, poem, or scripture.
-
D.
verses
Indicates a relationship where one entity competes or is pitted against another, as in an opposition, matchup, or comparison.
-
E.
verseForm
Indicates the specific structural or metrical pattern in which a verse or poem is composed.
- 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_69ad85d6dc3c8190b491b79b83e25461 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc137eb708190809cd52b6deb227c |
completed | March 8, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69adb839b4e08190b1c0d611cccb11ae |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:22 p.m.