Triple
T36351115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Des Bishop: Breaking China |
E895204
|
entity |
| Predicate | languageOfPerformanceGoal |
P43093
|
FINISHED |
| Object | Mandarin Chinese |
—
|
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: Mandarin Chinese | Statement: [Des Bishop: Breaking China, languageOfPerformanceGoal, Mandarin Chinese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfPerformanceGoal Context triple: [Des Bishop: Breaking China, languageOfPerformanceGoal, Mandarin Chinese]
-
A.
performedLanguage
chosen
Indicates that an action, work, or performance was carried out using a specified language.
-
B.
hasLinguisticGoal
Indicates that an entity is associated with or directed toward achieving a particular linguistic objective or outcome.
-
C.
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.
-
D.
languageOfPrimaryPerformances
Indicates the language in which the main or primary performances are carried out.
-
E.
linguisticTarget
Indicates that something serves as the specific linguistic element (such as a word, phrase, or expression) that is the focus or target of a given action, analysis, or relation.
- 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a01203ac018819085d7c9abd8345b23 |
completed | May 11, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_6a011f3f149c819090749722da0e3413 |
completed | May 11, 2026, 12:13 a.m. |
Created at: May 3, 2026, 4:09 p.m.