Triple
T33116207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Fath |
E847463
|
entity |
| Predicate | verse48:10Theme |
P175593
|
FINISHED |
| Object | pledge of allegiance to the Prophet as pledge to God |
—
|
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: pledge of allegiance to the Prophet as pledge to God | Statement: [Al-Fath, verse48:10Theme, pledge of allegiance to the Prophet as pledge to God]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: verse48:10Theme Context triple: [Al-Fath, verse48:10Theme, pledge of allegiance to the Prophet as pledge to God]
-
A.
verse49_10Theme
Indicates that the subject is thematically related to or exemplifies the central theme expressed in verse 49:10.
-
B.
verse49_6Theme
Indicates that an element is identified as the central theme or main subject of verse 49:6.
-
C.
verse4Focus
Indicates a specific emphasis or primary thematic focus associated with verse 4 within a structured text or composition.
-
D.
openingVerseTheme
Indicates the primary idea or motif expressed in the opening verse of a text, song, or poem.
-
E.
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.
- 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_69f3495751a081909850af5843da40dc |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6ee6e2081909c55bf6b31356d61 |
completed | May 3, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69f6d27224708190b31a541cebe0ff77 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d30b9e048190b0982e30b7fdfa3c |
completed | May 3, 2026, 4:46 a.m. |
Created at: May 1, 2026, 1:27 a.m.