Triple
T34883098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Feast of Timkat |
E1006065
|
entity |
| Predicate | mainDayPractice |
P181971
|
FINISHED |
| Object | blessing of water by clergy |
—
|
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: blessing of water by clergy | Statement: [Feast of Timkat, mainDayPractice, blessing of water by clergy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainDayPractice Context triple: [Feast of Timkat, mainDayPractice, blessing of water by clergy]
-
A.
nameDayPractice
Indicates the customary observance or celebration associated with a person’s name day.
-
B.
dailyPractice
Indicates a recurring action or behavior that is performed every day as a regular practice or routine.
-
C.
homePractice
Indicates that an activity, skill, or task is being practiced or carried out in a home setting rather than in a formal or external environment.
-
D.
publicPractice
Indicates that an activity, behavior, or belief is carried out openly in public or within a community setting rather than privately.
-
E.
alsoPractice
Indicates that an entity engages in the same practice or activity as another entity, in addition to any other practices it may have.
- F. None of above. chosen
Provenance (4 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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782f4f10081908f97f6d0d2dbeec7 |
completed | May 3, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_69f780ff71cc8190a67e71076fbad81a |
completed | May 3, 2026, 5:08 p.m. |
| PDg | Predicate description generation | batch_69f782f416c081908bdd9b1ad456f0e2 |
completed | May 3, 2026, 5:16 p.m. |
Created at: May 3, 2026, 4 p.m.