Triple
T1364705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highland games |
E29176
|
entity |
| Predicate | hasMusicType |
P13181
|
FINISHED |
| Object | pipe band 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: pipe band music | Statement: [Highland games, hasMusicType, pipe band music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicType Context triple: [Highland games, hasMusicType, pipe band music]
-
A.
hasCommonMusic
Indicates that two entities share at least one piece of music preference, interest, or item in common.
-
B.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
C.
hasSong
Indicates that one entity possesses, features, or includes a particular song.
-
D.
hasMusicalSettingsBy
Indicates that a work has been set to music or musically arranged by a specified creator or composer.
-
E.
hasSongStyle
chosen
Indicates that an entity possesses, is characterized by, or is associated with a particular style or genre of song.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b725248190bdfdc0031ddc477f |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.