Triple
T3684179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Sava Day |
E78184
|
entity |
| Predicate | dateObservedOldStyle |
P23455
|
FINISHED |
| Object | 14 January (Julian calendar) |
—
|
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: 14 January (Julian calendar) | Statement: [Saint Sava Day, dateObservedOldStyle, 14 January (Julian calendar)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateObservedOldStyle Context triple: [Saint Sava Day, dateObservedOldStyle, 14 January (Julian calendar)]
-
A.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
B.
dateOldStyle
chosen
Indicates that a given date is expressed using the Old Style (Julian calendar) rather than the New Style (Gregorian calendar) convention.
-
C.
dateSecularized
Indicates the date on which a religious or ecclesiastical entity was formally converted to secular (non-religious) status.
-
D.
dateDetermination
Indicates the process or criteria by which a specific date is identified, calculated, or assigned in relation to an event or condition.
-
E.
dateRelativeToGregorian
Indicates how a given date is positioned or expressed in relation to the standard Gregorian calendar date.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc49644d08190866d6c5df9d2b48d |
completed | March 8, 2026, 6:48 p.m. |
| PD | Predicate disambiguation | batch_69adb84be1fc81909721c871babb4633 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:26 p.m.