Triple
T23519748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xinyang dialect |
E574469
|
entity |
| Predicate | standardRelation |
P152423
|
FINISHED |
| Object | considered a non-standard variety of Mandarin |
—
|
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: considered a non-standard variety of Mandarin | Statement: [Xinyang dialect, standardRelation, considered a non-standard variety of Mandarin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardRelation Context triple: [Xinyang dialect, standardRelation, considered a non-standard variety of Mandarin]
-
A.
standardizationRelation
Indicates a relationship in which one entity defines, enforces, or aligns with a common standard, norm, or specification used by another entity.
-
B.
stageRelation
Indicates a relationship between entities based on their roles, positions, or phases within a staged process or sequence.
-
C.
stepRelation
Indicates a relationship where one entity is a step-relative of another, such as a stepparent, stepchild, or stepsibling connection.
-
D.
subjectRelation
Indicates that one entity stands in a specified relational role or connection to another entity.
-
E.
formalizesRelationBetween
Indicates a relationship in which one entity defines, codifies, or gives formal structure to the relationship that exists between two or more other entities.
- 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_69e245bb3dcc8190ba9a2b35972b58d0 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1aa84fe7c8190aa1078a118af7d61 |
completed | April 29, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_69f06213e8c48190b52a7789fb91e02d |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbdac3c819083bec5401ed4cb9f |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 6:08 p.m.