Triple
T2257225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaudete Sunday |
E49754
|
entity |
| Predicate | associatedCandleColor |
P36774
|
FINISHED |
| Object | rose candle on the Advent wreath |
—
|
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: rose candle on the Advent wreath | Statement: [Gaudete Sunday, associatedCandleColor, rose candle on the Advent wreath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCandleColor Context triple: [Gaudete Sunday, associatedCandleColor, rose candle on the Advent wreath]
-
A.
hasCentralCandle
Indicates that an object or arrangement includes a primary candle positioned at its center.
-
B.
coneColor
Indicates that one entity is the color attribute assigned to a cone-shaped object.
-
C.
crestColor
Indicates the color characteristic of an entity’s crest.
-
D.
capeColor
Indicates the color attribute associated with a cape worn or possessed by an entity.
-
E.
crescentColor
Indicates that one entity has a crescent-shaped region whose color is specified or characterized by another entity.
- F. None of above. chosen
Provenance (4 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_69a88aaa9250819095e127d0d77e8a32 |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc1570dc88190bb2b17ed4c25dbb5 |
completed | March 7, 2026, 6:10 a.m. |
| PD | Predicate disambiguation | batch_69abbdb34c148190b51e99f540f97204 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe86dbcc81908c72793af8fe2a4d |
completed | March 7, 2026, 5:58 a.m. |
Created at: March 4, 2026, 7:47 p.m.