Triple
T37648351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Season after Pentecost |
E937101
|
entity |
| Predicate | worshipPattern |
P11149
|
FINISHED |
| Object | emphasis on teaching and preaching |
—
|
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: emphasis on teaching and preaching | Statement: [Season after Pentecost, worshipPattern, emphasis on teaching and preaching]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: worshipPattern Context triple: [Season after Pentecost, worshipPattern, emphasis on teaching and preaching]
-
A.
worshipType
chosen
Indicates the manner or form in which worship is practiced or expressed in a religious or spiritual context.
-
B.
worshipBy
Indicates that one entity is the object of religious reverence, devotion, or adoration performed by another entity.
-
C.
worshipStyle
Indicates the manner or form in which worship or religious devotion is practiced or expressed.
-
D.
worshipPeriod
Indicates the time span or specific period during which an act of worship or religious devotion takes place.
-
E.
worshipFrequency
Indicates how often an entity engages in acts of worship or religious devotion.
- 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_69f76ed4fe908190b8061c5c135e0971 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.