Triple
T4019459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhan |
E91243
|
entity |
| Predicate | transcriptionSystem |
P28703
|
FINISHED |
| Object | Pinyin |
—
|
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: Pinyin | Statement: [Zhan, transcriptionSystem, Pinyin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transcriptionSystem Context triple: [Zhan, transcriptionSystem, Pinyin]
-
A.
transcription
Indicates the process by which genetic information in DNA is copied into RNA by RNA polymerase.
-
B.
canDictateText
Indicates that one entity has the ability to produce or control text content, typically by speaking or issuing commands that are converted into written form.
-
C.
voiceWork
Indicates that one entity performs or contributes voice acting or vocal performance work for another entity or creative production.
-
D.
transcribedName
chosen
Indicates that one entity is a written or phonetic rendering of another entity’s name, typically adapted to a different script, language, or transcription system.
-
E.
textualTransmission
Indicates the transfer or communication of information through written or printed text from one source to another.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaab39d4819080e37cd175c89542 |
completed | March 9, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:35 p.m.