Triple
T1976659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 蔡崇信 |
E42929
|
entity |
| Predicate | 语言能力 |
P741
|
FINISHED |
| Object | 英语 |
—
|
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: 英语 | Statement: [蔡崇信, 语言能力, 英语]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 语言能力 Context triple: [蔡崇信, 语言能力, 英语]
-
A.
languageCapacity
Indicates the extent to which an entity is able to understand, produce, or otherwise use language.
-
B.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
languagesSpoken
chosen
Indicates that an entity is able to communicate using one or more specified languages.
-
D.
languageProvision
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
E.
languageOfAssessment
Indicates that a specified language is used as the medium of assessment (e.g., for tests, evaluations, or examinations) for a given entity.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f9a87c8190816db3888787ad76 |
completed | March 7, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69abaff9a09c8190a81fa13f4b85bc79 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.