Triple
T3586706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Falaq |
E75926
|
entity |
| Predicate | verse1Focus |
P15334
|
FINISHED |
| Object | seeking refuge in the Lord of daybreak |
—
|
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: seeking refuge in the Lord of daybreak | Statement: [Surah Al-Falaq, verse1Focus, seeking refuge in the Lord of daybreak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verse1Focus Context triple: [Surah Al-Falaq, verse1Focus, seeking refuge in the Lord of daybreak]
-
A.
verse3
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.
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.
-
C.
lyricFocus
Indicates that the primary emphasis or subject of the lyrics is centered on a particular entity or theme.
-
D.
formerFocus
Indicates that an entity previously served as the primary focus or main subject of attention, but no longer holds that status.
-
E.
keyVerse
chosen
Indicates that one verse is designated as the central or most thematically important verse in relation to a text, passage, or concept.
- 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.