Triple
T19767598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatima Prayer |
E474797
|
entity |
| Predicate | textOpeningEnglish |
P25592
|
FINISHED |
| Object | O my Jesus, forgive us our sins |
—
|
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: O my Jesus, forgive us our sins | Statement: [Fatima Prayer, textOpeningEnglish, O my Jesus, forgive us our sins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textOpeningEnglish Context triple: [Fatima Prayer, textOpeningEnglish, O my Jesus, forgive us our sins]
-
A.
textOpeningTranslation
Indicates that a text serves as a translation of the opening section of another text.
-
B.
translationOfOpeningWords
chosen
Indicates that one text is a translation of the initial words or opening phrase of another text.
-
C.
openingSequenceLanguage
Indicates the language used in the opening sequence of a work or media item.
-
D.
openingEngagementOf
Indicates that one event, action, or interaction serves as the initial or first engagement within a larger sequence, context, or relationship involving another entity or event.
-
E.
openingPublication
Indicates that an entity is the initial or first publication in which another entity (such as a work, concept, or result) was formally made public.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65358fc3c8190867fea2a2c4e7594 |
completed | April 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.