Triple
T28628903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese Wikipedia |
E724590
|
entity |
| Predicate | scriptConversionSystem |
P175238
|
FINISHED |
| Object | automatic conversion between Simplified and Traditional Chinese |
—
|
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: automatic conversion between Simplified and Traditional Chinese | Statement: [Chinese Wikipedia, scriptConversionSystem, automatic conversion between Simplified and Traditional Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scriptConversionSystem Context triple: [Chinese Wikipedia, scriptConversionSystem, automatic conversion between Simplified and Traditional Chinese]
-
A.
scriptEvolution
Indicates how a script or written system changes, develops, or transforms over time in relation to its earlier or later forms.
-
B.
scriptTranscribedFrom
Indicates that a written script is a transcription derived from another source, such as audio, video, or a different script.
-
C.
script
Indicates that an entity is associated with a written text or code (such as a screenplay, program, or written instructions) that defines its content or behavior.
-
D.
scriptAdaptationFrom
Indicates that a script is adapted or derived from a pre-existing source work (such as a book, play, or earlier script).
-
E.
scriptWriter
Indicates that one entity is the person who wrote or authored the script associated with another entity.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 28, 2026, 4:37 a.m.