Triple
T1778407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Anne Skete |
E39232
|
entity |
| Predicate | observesPractice |
P14941
|
FINISHED |
| Object | fasting |
—
|
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: fasting | Statement: [St. Anne Skete, observesPractice, fasting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observesPractice Context triple: [St. Anne Skete, observesPractice, fasting]
-
A.
observance
chosen
Indicates the performance or maintenance of a practice, rule, or custom in accordance with prescribed or expected standards.
-
B.
observesDay
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
-
C.
typicalPractice
Indicates that an action, behavior, or method is commonly or customarily done in a given context or by a given group.
-
D.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
-
E.
observedBy
Indicates that an entity is perceived, monitored, or recorded by another entity acting as the observer.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.