Triple
T7705012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Mass |
E174589
|
entity |
| Predicate | isSourceAndSummitOf |
P78385
|
FINISHED |
| Object | Christian life (in Catholic theology) |
—
|
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 life (in Catholic theology) | Statement: [Catholic Mass, isSourceAndSummitOf, Christian life (in Catholic theology)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSourceAndSummitOf Context triple: [Catholic Mass, isSourceAndSummitOf, Christian life (in Catholic theology)]
-
A.
isSummitOf
Indicates that one entity is the highest point or peak (summit) of another entity, such as a mountain or structure.
-
B.
isSecondarySummitOf
Indicates that one summit is a subsidiary or lesser peak that is topographically or hierarchically associated with a primary, higher summit.
-
C.
hasSummitOnSideOf
Indicates that the summit or highest point of one geographic feature is located on the side of another feature.
-
D.
isEasternPeakOf
Indicates that one peak is the eastern member or counterpart within a set or pair of related peaks.
-
E.
isRockySummitOf
Indicates that one entity is the rocky summit or peak portion of another, typically higher-level, geographic feature.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:03 p.m.