Triple
T4904864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crowning with Thorns |
E109889
|
entity |
| Predicate | numberInStationsOfTheCross |
P60579
|
FINISHED |
| Object | often combined within early stations on Jesus’ condemnation and suffering |
—
|
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: often combined within early stations on Jesus’ condemnation and suffering | Statement: [Crowning with Thorns, numberInStationsOfTheCross, often combined within early stations on Jesus’ condemnation and suffering]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInStationsOfTheCross Context triple: [Crowning with Thorns, numberInStationsOfTheCross, often combined within early stations on Jesus’ condemnation and suffering]
-
A.
positionInRosary
Indicates the specific sequential place an element occupies within the ordered structure of a rosary.
-
B.
thirteenthStation
Indicates the relationship in which an entity is identified as the thirteenth station or stop in an ordered sequence of stations.
-
C.
hasNumberOfCrosses
Indicates the quantity of crosses associated with or present on a given entity.
-
D.
twelfthStation
Indicates the relationship of being the twelfth station or step in a sequential series, often within a structured ritual or ordered set of events.
-
E.
numberOfStations
Indicates the total count of stations associated with or contained by a given 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_69bd441180708190ba42ffb44fea533a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd706245e48190a61d573438461c30 |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c306b188190a08a7856beb76db4 |
completed | March 20, 2026, 3:48 p.m. |
| PDg | Predicate description generation | batch_69bd7060f9988190afdf98eb0a38515d |
completed | March 20, 2026, 4:05 p.m. |
Created at: March 20, 2026, 1:29 p.m.