Triple
T4079488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Way of Sorrows |
E87441
|
entity |
| Predicate | hasDevotionalTextForm |
P6480
|
FINISHED |
| Object | booklet of prayers and meditations |
—
|
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: booklet of prayers and meditations | Statement: [Way of Sorrows, hasDevotionalTextForm, booklet of prayers and meditations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevotionalTextForm Context triple: [Way of Sorrows, hasDevotionalTextForm, booklet of prayers and meditations]
-
A.
hasDevotionalFormula
Indicates a relationship where one entity includes, uses, or is associated with a specific devotional formula (such as a set religious phrase, prayer, or invocation).
-
B.
hasSacredText
Indicates that an entity possesses or is associated with a particular sacred or religious text.
-
C.
hasLiteraryForm
chosen
Indicates that one entity is expressed, structured, or realized in a particular literary form (such as a genre, style, or textual format).
-
D.
hasLiturgicalExpression
Indicates that one entity expresses, embodies, or is manifested through the liturgical practices, rites, or worship forms of another entity.
-
E.
isAssociatedWithReligiousText
Indicates a relationship where an entity is connected or linked in some way to a religious text, such as being based on, derived from, or directly related to it.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5087b081909d6042bfe8d8a306 |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.