Triple
T1414936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesia Raya |
E31892
|
entity |
| Predicate | refrainWords |
P25593
|
FINISHED |
| Object | Indonesia Raya, merdeka, merdeka |
—
|
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: Indonesia Raya, merdeka, merdeka | Statement: [Indonesia Raya, refrainWords, Indonesia Raya, merdeka, merdeka]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refrainWords Context triple: [Indonesia Raya, refrainWords, Indonesia Raya, merdeka, merdeka]
-
A.
refrainWord
Indicates that one entity avoids using, mentioning, or expressing a particular word or term in relation to another entity or context.
-
B.
refrain
Indicates that an entity deliberately holds back from performing a particular action or behavior.
-
C.
refrainStructure
chosen
Indicates a structural relationship where a recurring refrain section is organized, positioned, or patterned within a larger composition or sequence.
-
D.
commonlySungStanzas
Indicates that certain stanzas of a song or poem are those most frequently sung or performed in practice.
-
E.
rhymeScheme
Indicates the pattern of end sounds in a sequence of lines, showing which lines rhyme with each other.
- 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_69a49919a994819086528951bc224775 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3e5f9d08190861206934cd71fd8 |
completed | March 1, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69a4bf060b0081909ba00e6ac093a28b |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.