Triple
T29125323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liúyáng |
E738208
|
entity |
| Predicate | romanizationSystemAuthority |
P23170
|
FINISHED |
| Object | Chinese government standard for Hanyu 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: Chinese government standard for Hanyu Pinyin | Statement: [Liúyáng, romanizationSystemAuthority, Chinese government standard for Hanyu Pinyin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: romanizationSystemAuthority Context triple: [Liúyáng, romanizationSystemAuthority, Chinese government standard for Hanyu Pinyin]
-
A.
romanizationType
Indicates the specific system or method used to convert text from one writing system into its Roman (Latin) alphabet representation.
-
B.
romanizationStandardReplacedBy
Indicates that one system or convention for romanization has been superseded and replaced by another romanization standard.
-
C.
hasRomanizationStandard
chosen
Indicates that an entity’s romanized form follows a specified romanization standard or system.
-
D.
romanizationOfToponymType
Indicates a relationship where a specific type of place-name is expressed in a romanized (Latin-script) form corresponding to its original writing system.
-
E.
romanizationRegion
Indicates the region or locale whose conventions are used to romanize a name, term, or text.
- 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_69f07cb29cdc8190afa55444553de60c |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 11:28 a.m.