Triple
T25412172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Indonesia Raya |
E636730
|
entity |
| Predicate | hasChorusCount |
P163681
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Indonesia Raya, hasChorusCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChorusCount Context triple: [Indonesia Raya, hasChorusCount, 1]
-
A.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
B.
hasChorusBy
Indicates that something (typically a musical work or song) includes a chorus section that is performed, written, or provided by a specified entity.
-
C.
hasChorusIn
Indicates that a musical work includes a chorus section within the specified part or segment.
-
D.
hasChorusRepetition
Indicates that a musical work includes a chorus section that is repeated one or more times.
-
E.
containsChorusOf
Indicates that one entity (typically a musical work or section) includes within it a chorus performed by another entity (such as a group of singers or ensemble).
- F. None of above. chosen
Provenance (4 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_69e75db4135881909acc287ebcb7a505 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638d029148190877c103f0eeaf147 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 21, 2026, 1:55 p.m.