Triple
T158289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paschal candle |
E3225
|
entity |
| Predicate | decoratedWith |
P2788
|
FINISHED |
| Object | cross |
—
|
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: cross | Statement: [Paschal candle, decoratedWith, cross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: decoratedWith Context triple: [Paschal candle, decoratedWith, cross]
-
A.
decoratedFor
Indicates that an entity has received a decoration, award, or honor in recognition of a specific action, service, or achievement.
-
B.
typeOfDecoration
chosen
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
C.
displayedWith
Indicates that one entity is shown or presented together alongside another entity in the same context or view.
-
D.
executedWith
Indicates that an action or process was carried out using, accompanied by, or in conjunction with a specified tool, method, or participant.
-
E.
usedWithStyle
Indicates that something is employed or applied in conjunction with a particular style or stylistic manner.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2583169a0819081b658882e5bc452 |
completed | Feb. 28, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69a2565f30848190a2a71fdb7dc140b5 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.