Triple
T27766820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 客家人 |
E701622
|
entity |
| Predicate | 主要语言 |
P1252
|
FINISHED |
| Object | 汉语 |
—
|
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: 汉语 | Statement: [客家人, 主要语言, 汉语]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主要语言 Context triple: [客家人, 主要语言, 汉语]
-
A.
primaryLanguageType
Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
-
B.
primaryLanguageOf
chosen
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
C.
shareMajorLanguage
Indicates that the entities have at least one primary or major language in common.
-
D.
primaryLanguageIn
Indicates that a specified language is the main or official language used within a particular place, organization, or context.
-
E.
majorStandardLanguage
Indicates that a language is the primary or most widely used standard language associated with an entity (such as a country, region, or group).
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 4:31 p.m.