Triple
T3619641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queima das Fitas de Coimbra |
E76689
|
entity |
| Predicate | musicGenreFeatured |
P5483
|
FINISHED |
| Object | Portuguese popular music |
—
|
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: Portuguese popular music | Statement: [Queima das Fitas de Coimbra, musicGenreFeatured, Portuguese popular music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicGenreFeatured Context triple: [Queima das Fitas de Coimbra, musicGenreFeatured, Portuguese popular music]
-
A.
musicGenreBroad
Indicates that one music genre is a broader, more general category that encompasses another, more specific music genre.
-
B.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
C.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
D.
broadcastGenre
Indicates the genre or category under which a broadcast (such as a TV or radio program) is classified.
-
E.
genreFeatures
chosen
Indicates that a particular genre is characterized or defined by certain features or attributes.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2b85f6c819091000e231d9dac87 |
completed | March 8, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69adb83f1e4c8190ab501c1c05b14c08 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.