Triple
T23406491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pure Country |
E559947
|
entity |
| Predicate | hasCountryMusicTheme |
P96815
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pure Country, hasCountryMusicTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCountryMusicTheme Context triple: [Pure Country, hasCountryMusicTheme, true]
-
A.
hasCountryMusicFocus
chosen
Indicates that something is primarily oriented toward, dedicated to, or characterized by country music.
-
B.
hasThemeSong
Indicates that an entity is associated with or characterized by a particular theme song.
-
C.
countryTheme
Indicates that something is associated with or represents a thematic focus on a particular country.
-
D.
hasFolkGenre
Indicates that something belongs to, is categorized under, or is associated with the folk music genre.
-
E.
importanceInCountryMusic
Indicates the degree to which something is recognized as significant or influential within the context of country music.
- 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_69e2454b3a5881909c64773dc8a5d289 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a50e607c8190ba0a22e89862a2d9 |
completed | April 29, 2026, 6:28 a.m. |
| PD | Predicate disambiguation | batch_69f061ed34288190a2e5e8cae03b0095 |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:38 p.m.