Triple
T674957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Patrick |
E13056
|
entity |
| Predicate | liturgicalColorOnFeast |
P4602
|
FINISHED |
| Object | green |
—
|
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: green | Statement: [Saint Patrick, liturgicalColorOnFeast, green]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: liturgicalColorOnFeast Context triple: [Saint Patrick, liturgicalColorOnFeast, green]
-
A.
hasLiturgicalColor
chosen
Indicates that something is associated with a specific liturgical color used in religious rites or ceremonies.
-
B.
usesLiturgicalCalendar
Indicates that an entity follows or organizes its religious observances according to a formal liturgical calendar.
-
C.
majorFeast
Indicates that an event or celebration is recognized as a major religious or cultural feast of high importance.
-
D.
liturgicalTheme
Indicates the religious or worship-related theme that characterizes or frames a liturgical action, text, or event.
-
E.
hasLiturgicalDay
Indicates that a particular date, event, or context is associated with a specific liturgical day within a religious calendar.
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69a49d1bbd0c81909cfbec30bd17bde7 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.