Triple
T207937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miryam |
E4648
|
entity |
| Predicate | hasNameDayIn |
P910
|
FINISHED |
| Object | Christian liturgical 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: Christian liturgical calendar | Statement: [Miryam, hasNameDayIn, Christian liturgical calendar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameDayIn Context triple: [Miryam, hasNameDayIn, Christian liturgical calendar]
-
A.
hasNameDay
chosen
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
-
B.
nameOf
Indicates that one entity is the name or designation of another entity.
-
C.
hasNameInHebrew
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
-
D.
hasImportantHoliday
Indicates that an entity is associated with a holiday considered significant or special in some context.
-
E.
hasEnglishName
Indicates that an entity is associated with a name expressed in the English language.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25e8b9b908190b69a3f0594b95f7e |
completed | Feb. 28, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69a25b4e3c2881908d83e8218aa9f2d9 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.