Triple
T331877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star of the Sea |
E6641
|
entity |
| Predicate | hasDevotionalPractice |
P4193
|
FINISHED |
| Object | prayers for sailors |
—
|
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: prayers for sailors | Statement: [Star of the Sea, hasDevotionalPractice, prayers for sailors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevotionalPractice Context triple: [Star of the Sea, hasDevotionalPractice, prayers for sailors]
-
A.
hasCatechism
Indicates that an entity possesses, is associated with, or includes a catechism (a formal summary of religious doctrine, typically in question-and-answer format).
-
B.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
C.
hasRitual
chosen
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
D.
isPracticedBy
Indicates that an activity, skill, or discipline is regularly performed or carried out by a particular entity.
-
E.
hasDeity
Indicates that one entity recognizes, worships, or is associated with another entity as its deity or divine figure.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.