Triple
T36198098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xining dialect |
E1047182
|
entity |
| Predicate | standardFormOfWriting |
P158574
|
FINISHED |
| Object | Standard Written Chinese |
—
|
NE NERFINISHED |
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: Standard Written Chinese | Statement: [Xining dialect, standardFormOfWriting, Standard Written Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardFormOfWriting Context triple: [Xining dialect, standardFormOfWriting, Standard Written Chinese]
-
A.
standardFormulation
Indicates that something is expressed or represented in a conventional, officially accepted, or commonly used form or version.
-
B.
writtenForm
Indicates that one entity is the textual or orthographic representation (spelling or written version) of another entity.
-
C.
standardFormUsedIn
Indicates that a particular standard form is employed or applied within a given context, process, or system.
-
D.
standardizedFormOf
chosen
Indicates that one entity is the normalized or officially standardized version of another, often consolidating variations or alternative forms into a single canonical form.
-
E.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
- F. None of above.
Provenance (3 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_69f76e414bdc8190996f15a544220a3d |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 3, 2026, 4:08 p.m.