Triple
T28284240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuiweng Ting Ji |
E713234
|
entity |
| Predicate | hasIdiomDerived |
P99154
|
FINISHED |
| Object | 醉翁之意不在酒 |
—
|
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: 醉翁之意不在酒 | Statement: [Zuiweng Ting Ji, hasIdiomDerived, 醉翁之意不在酒]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIdiomDerived Context triple: [Zuiweng Ting Ji, hasIdiomDerived, 醉翁之意不在酒]
-
A.
hasMeaningByDerivation
Indicates that the meaning of one entity is obtained or derived from another entity, rather than being original or independent.
-
B.
hasDerivationalAffixes
Indicates that one linguistic form is related to another by the addition of derivational affixes that change its grammatical category or meaning.
-
C.
isDialectalBaseOf
Indicates that one language variety serves as the primary dialectal source or foundation from which another dialect develops or is derived.
-
D.
isDerivedFromGivenName
Indicates that one entity originates from, or is formed based on, a specified given (first) name.
-
E.
derivedFromLexeme
chosen
Indicates that one linguistic form or expression originates from, or is morphologically or semantically based on, a particular lexeme.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 11:25 p.m.