Triple
T3024901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcha Nacional Filipina |
E82552
|
entity |
| Predicate | hasMelodyRole |
P24740
|
FINISHED |
| Object | melody of the Philippine national anthem |
—
|
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: melody of the Philippine national anthem | Statement: [Marcha Nacional Filipina, hasMelodyRole, melody of the Philippine national anthem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMelodyRole Context triple: [Marcha Nacional Filipina, hasMelodyRole, melody of the Philippine national anthem]
-
A.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
musicalRole
chosen
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
C.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
D.
hasMainRole
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
E.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abac0288190a30b42674eea501f |
completed | March 8, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69ad961c430c8190ac48f2e3c7e7c649 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3 p.m.