Triple
T6550488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dondang sayang |
E151114
|
entity |
| Predicate | creativeSkill |
P58200
|
FINISHED |
| Object | quick-witted verse composition |
—
|
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: quick-witted verse composition | Statement: [Dondang sayang, creativeSkill, quick-witted verse composition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeSkill Context triple: [Dondang sayang, creativeSkill, quick-witted verse composition]
-
A.
creativeOutput
Indicates that an entity produces, originates, or is responsible for a creative work or result.
-
B.
artisticTraining
Indicates that one entity has provided, received, or been involved in formal or informal instruction or education in the arts from or with another entity.
-
C.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
D.
skillSet
chosen
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
-
E.
hasArtisticDiscipline
Indicates that one entity practices, specializes in, or is associated with a particular artistic discipline or field.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c1b15d3481908ae66e3d7564b352 |
completed | March 27, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69c6acf6d4148190914b19e9affd8c76 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:51 p.m.