Triple
T14161693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qoyllur Rit'i |
E350962
|
entity |
| Predicate | blendsTraditions |
P113064
|
FINISHED |
| Object | Catholic traditions |
—
|
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: Catholic traditions | Statement: [Qoyllur Rit'i, blendsTraditions, Catholic traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blendsTraditions Context triple: [Qoyllur Rit'i, blendsTraditions, Catholic traditions]
-
A.
traditionIncludes
Indicates that a particular tradition encompasses, contains, or is composed of a specified element, practice, or component.
-
B.
sharesTraditionsWith
Indicates that two entities have customs, practices, or cultural traditions in common or mutually observe similar traditional activities.
-
C.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
-
D.
sharesDesignTraditionWith
Indicates that two entities originate from or participate in the same design tradition, sharing common stylistic principles, methods, or heritage.
-
E.
exploresTradition
Indicates an entity actively investigates, examines, or engages with a tradition to understand or interpret it.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de613a4a2081908fd51bf4b4d82b6c |
completed | April 14, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de239a02e881909b0e2679487e4ab2 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 10, 2026, 12:59 a.m.