Triple
T29069278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutty Love |
E735767
|
entity |
| Predicate | hasSignificantAirplayIn |
P19932
|
FINISHED |
| Object | Latin America |
—
|
NE NERFINISHED |
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: Latin America | Statement: [Dutty Love, hasSignificantAirplayIn, Latin America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSignificantAirplayIn Context triple: [Dutty Love, hasSignificantAirplayIn, Latin America]
-
A.
hasNotableAirplay
chosen
Indicates that something (typically a song, program, or audio content) has received a significant amount of broadcast play on radio or similar media.
-
B.
peakPositionOnBillboardCountryAirplay
Indicates the highest chart position an item reached on the Billboard Country Airplay chart.
-
C.
hasHitOnBillboardHot100
Indicates that an entity (typically a song or artist) has appeared as a ranked entry on the Billboard Hot 100 music chart.
-
D.
hasNotableChartingStatus
Indicates that an entity has achieved a specific, noteworthy position or performance on an official chart or ranking.
-
E.
hasNotableChartingSong
Indicates that an entity (typically a musical artist or group) has at least one song that has achieved notable placement on a recognized music chart.
- 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_69f077e9b0a48190bb79548279cb7f64 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
Created at: April 28, 2026, 10:19 a.m.