Triple
T27958528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changyi |
E704515
|
entity |
| Predicate | traditionQualifier |
P191565
|
FINISHED |
| Object | in most 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: in most traditions | Statement: [Changyi, traditionQualifier, in most traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionQualifier Context triple: [Changyi, traditionQualifier, in most traditions]
-
A.
isTraditionOf
Indicates that something is a customary practice, belief, or ritual associated with or belonging to a particular group, culture, or context.
-
B.
traditionClassification
Indicates how a given item, practice, or concept is categorized within a particular tradition or system of traditions.
-
C.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
D.
traditionIncludes
Indicates that a particular tradition encompasses, contains, or is composed of a specified element, practice, or component.
-
E.
traditionAt
Indicates that a particular tradition is practiced, observed, or associated at a specific place or location.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 27, 2026, 7:29 p.m.