Triple
T12447862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Rosalie |
E297448
|
entity |
| Predicate | hasTitleInEnglish |
P3437
|
FINISHED |
| Object | La Rosalie |
E297448
|
NE 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: La Rosalie | Statement: [La Rosalie, hasTitleInEnglish, La Rosalie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Rosalie Context triple: [La Rosalie, hasTitleInEnglish, La Rosalie]
-
A.
La Rosalie
chosen
La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
-
B.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
-
C.
La Sablonière
La Sablonière is one of the small islets within the Les Écréhous reef and island group off the coast of Jersey in the Channel Islands.
-
D.
La Belle
La Belle was a 17th-century French barque used by explorer René-Robert Cavelier, Sieur de La Salle during his ill-fated expedition to establish a colony near the mouth of the Mississippi River.
-
E.
Belladère
Belladère is a commune and border town in central Haiti, located near the frontier with the Dominican Republic.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d9e592c81908cf7f3ca170d942c |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f1501448190b0a95d7cd249ca9d |
completed | May 2, 2026, 6:14 p.m. |
Created at: April 8, 2026, 9:56 p.m.