Triple
T4665614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Seven Sacraments |
E102837
|
entity |
| Predicate | compositionCharacteristics |
P52407
|
FINISHED |
| Object | balanced composition |
—
|
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: balanced composition | Statement: [The Seven Sacraments, compositionCharacteristics, balanced composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compositionCharacteristics Context triple: [The Seven Sacraments, compositionCharacteristics, balanced composition]
-
A.
characterizedBy
Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
-
B.
compositionalFeature
chosen
Indicates that one entity is a structural or constituent feature that forms part of the composition or makeup of another entity.
-
C.
constructionCharacteristic
Indicates a specific structural or material property that characterizes how something is built or constructed.
-
D.
scopeCharacterization
Indicates how the extent, boundaries, or coverage of something is defined, described, or qualified in relation to another entity or context.
-
E.
compositionDetail
Indicates that one entity specifies or describes the internal makeup, structure, or constituent elements of another entity.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd655aceb081908100ffc0498fe183 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6215864c8190b50ba0f63ba87d0c |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:15 p.m.