Triple
T28914757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mas Que Nada |
E733326
|
entity |
| Predicate | hasApproximateMeaningInEnglish |
P81437
|
FINISHED |
| Object | “come on, no way” (colloquial expression) |
—
|
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: “come on, no way” (colloquial expression) | Statement: [Mas Que Nada, hasApproximateMeaningInEnglish, “come on, no way” (colloquial expression)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateMeaningInEnglish Context triple: [Mas Que Nada, hasApproximateMeaningInEnglish, “come on, no way” (colloquial expression)]
-
A.
hasMeaningInOriginLanguage
Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning in its original or source language.
-
B.
hasTranslatedMeaning
Indicates that one entity expresses the meaning of another entity in a different language through translation.
-
C.
hasEnglishMeaningOfName
Indicates that one entity specifies the English meaning or interpretation of another entity’s name.
-
D.
literalMeaningApproximation
chosen
Indicates that one entity expresses an approximate or rough literal meaning of another entity, rather than an exact or fully precise interpretation.
-
E.
hasMeaningInChinese
Indicates that one entity (such as a word, phrase, or symbol) possesses a specific meaning or interpretation within the Chinese 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: April 28, 2026, 8:13 a.m.