Triple
T1592674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Han Chinese |
E34209
|
entity |
| Predicate | writingStandardization |
P8032
|
FINISHED |
| Object | Qin dynasty script unification |
—
|
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: Qin dynasty script unification | Statement: [Han Chinese, writingStandardization, Qin dynasty script unification]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingStandardization Context triple: [Han Chinese, writingStandardization, Qin dynasty script unification]
-
A.
languageStandard
Indicates that one entity conforms to, is defined by, or is governed by the language rules, specifications, or conventions established by another entity as a standard.
-
B.
documentationStandard
Indicates that there is a specified convention or set of rules governing how documentation should be written, structured, or maintained in relation to an entity or process.
-
C.
standardizedFor
chosen
Indicates that something has been adjusted or converted to conform to a common standard, format, or reference so it can be consistently compared or used.
-
D.
laterStandardization
Indicates that one entity becomes standardized or formally established at a later time than another entity.
-
E.
standardizationApproach
Indicates the method or strategy used to establish, implement, or align with a common standard across entities or processes.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.