Triple
T19748820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marian Hour of Grace |
E474320
|
entity |
| Predicate | hasPrimaryDateInCalendar |
P70408
|
FINISHED |
| Object | 8 December |
—
|
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: 8 December | Statement: [Marian Hour of Grace, hasPrimaryDateInCalendar, 8 December]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryDateInCalendar Context triple: [Marian Hour of Grace, hasPrimaryDateInCalendar, 8 December]
-
A.
hasDateWith
Indicates that one entity is scheduled to go on or is engaged in a romantic or social date with another entity.
-
B.
hasDateInGregorianCalendar
chosen
Indicates that an entity is associated with a specific date expressed using the Gregorian calendar system.
-
C.
hasCalendarFunction
Indicates that an entity possesses or supports a calendar-related capability or functionality.
-
D.
hasCalendarDateHijri
Indicates that an entity is associated with a specific date expressed in the Hijri (Islamic) calendar.
-
E.
usesCalendar
Indicates that an entity employs or relies on a calendar system for organizing, tracking, or scheduling dates and events.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65296fa80819085aa4a18153531cf |
completed | April 20, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:47 p.m.