Triple
T22390580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sound Loaded |
E553499
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Saint Tropez |
—
|
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: Saint Tropez | Statement: [Sound Loaded, hasTrack, Saint Tropez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint Tropez Context triple: [Sound Loaded, hasTrack, Saint Tropez]
-
A.
Saint-Tropez
chosen
Saint-Tropez is a coastal town on the French Riviera, famed as a glamorous Mediterranean resort and former artists’ haven.
-
B.
Vue de Saint-Tropez
Vue de Saint-Tropez is a vibrant Fauvist painting by French artist Henri Manguin depicting the colorful coastal scenery of the Mediterranean town of Saint-Tropez.
-
C.
Magaluf
Magaluf is a popular resort town on the southwest coast of Mallorca, Spain, known for its sandy beaches and vibrant nightlife.
-
D.
Citadel of Saint-Tropez
The Citadel of Saint-Tropez is a historic seaside fortress overlooking the town and bay of Saint-Tropez on the French Riviera, now housing a maritime history museum.
-
E.
Riviera
Riviera is a television drama series centered on wealth, crime, and intrigue along the glamorous French Riviera.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.