Triple
T150684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clementine |
E3423
|
entity |
| Predicate | nameDayTradition |
P910
|
FINISHED |
| Object | Christian culture |
—
|
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 culture | Statement: [Clementine, nameDayTradition, Christian culture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nameDayTradition Context triple: [Clementine, nameDayTradition, Christian culture]
-
A.
hasNameDay
chosen
Indicates that an entity is associated with a specific date on which its name is traditionally celebrated (a name day).
-
B.
relatedHoliday
Indicates that there is an association or connection between two holidays, such as thematic, temporal, cultural, or contextual relatedness.
-
C.
holidayType
Indicates the specific category or kind of holiday associated with an event or date (e.g., public, religious, national, or personal).
-
D.
celebratedDuring
Indicates that an event, tradition, or activity takes place or is observed within the time span of a specified celebration or festive period.
-
E.
majorFeast
Indicates that an event or celebration is recognized as a major religious or cultural feast of high importance.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565adaf48190b68ae4444ff83ccd |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.