Triple
T11362763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozarabic Divine Office |
E269124
|
entity |
| Predicate | includesHour |
P84777
|
FINISHED |
| Object | Matutinum |
—
|
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: Matutinum | Statement: [Mozarabic Divine Office, includesHour, Matutinum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesHour Context triple: [Mozarabic Divine Office, includesHour, Matutinum]
-
A.
usedInBusinessHours
Indicates that something is utilized or occurs during designated business operating hours.
-
B.
includesPeriodFeature
chosen
Indicates that something contains or incorporates a specific period-related feature as part of its characteristics or structure.
-
C.
isHalfHourTimeZone
Indicates that a time zone has an offset from Coordinated Universal Time (UTC) that differs by a half-hour increment rather than a whole hour.
-
D.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
-
E.
mealPeriod
Indicates the time-of-day category (such as breakfast, lunch, or dinner) during which a meal or food-related event occurs.
- 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_69d6aacbe18081909e5fadb50082dd96 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d800160a1c81909d115bf89fe54a49 |
completed | April 9, 2026, 7:37 p.m. |
| PD | Predicate disambiguation | batch_69d7e7022d508190996f9be0847c2b41 |
completed | April 9, 2026, 5:50 p.m. |
Created at: April 8, 2026, 9:33 p.m.