Triple
T27542057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 客家话 |
E695260
|
entity |
| Predicate | 语言地位 |
P7163
|
FINISHED |
| Object | 中国境内重要汉语方言群之一 |
—
|
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: 中国境内重要汉语方言群之一 | Statement: [客家话, 语言地位, 中国境内重要汉语方言群之一]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 语言地位 Context triple: [客家话, 语言地位, 中国境内重要汉语方言群之一]
-
A.
linguisticStatusOfArea
Indicates the linguistic status or condition that characterizes a particular geographic area.
-
B.
sociolinguisticStatus
chosen
Indicates the social and cultural standing or prestige associated with a language variety or linguistic feature within a particular community or context.
-
C.
languageStatusDocumented
Indicates that the language’s existence, features, or usage have been formally recorded or described in documentation.
-
D.
nationalLanguageStatus
Indicates that a language holds official or nationally recognized status within a country or political entity.
-
E.
ethnicLanguageStatus
Indicates the status or role of a language in relation to a particular ethnic group (e.g., primary, secondary, heritage, or minority language).
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f62f5ec8b481909241271f7d602dc9 |
completed | May 2, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69f623ac3a9c8190a6ee0c137b09e4b0 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 1:31 p.m.