Triple
T10993270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liturgy of the Word |
E259799
|
entity |
| Predicate | dayTypeVariation |
P96534
|
FINISHED |
| Object | Sunday Mass |
—
|
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: Sunday Mass | Statement: [Liturgy of the Word, dayTypeVariation, Sunday Mass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dayTypeVariation Context triple: [Liturgy of the Word, dayTypeVariation, Sunday Mass]
-
A.
dayPattern
Indicates the recurring schedule or configuration of days on which an event, action, or condition occurs.
-
B.
mentionsDayOfWeek
Indicates that something explicitly refers to or names a specific day of the week.
-
C.
dayName
Indicates the specific name of the day of the week associated with a given date or time.
-
D.
hasDayTheme
Indicates that something is associated with or characterized by a theme specifically intended for daytime use or context.
-
E.
weekdayServicePattern
Indicates a service pattern or schedule that specifically applies on weekdays rather than weekends or holidays.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d795d32f9081909def643571499521 |
completed | April 9, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_69d72e93ac648190b46c5d12bf3eb1e9 |
completed | April 9, 2026, 4:44 a.m. |
| PDg | Predicate description generation | batch_69d732242fdc8190be77d1f730a42935 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:24 p.m.