Triple
T14465733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Illuminations |
E358702
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Fleurs |
E833005
|
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: Fleurs | Statement: [Les Illuminations, hasPart, Fleurs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleurs Context triple: [Les Illuminations, hasPart, Fleurs]
-
A.
Mille Fleurs
Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
-
B.
Les Fleurs
chosen
Les Fleurs is a section of Charles Baudelaire’s poetry collection "Les Fleurs du mal," known for its evocative and symbolist exploration of beauty, decadence, and modern urban life.
-
C.
Petite Fleur
"Petite Fleur" is a famous jazz composition by Sidney Bechet, celebrated as one of his signature melodic clarinet pieces and a standard in traditional jazz repertoire.
-
D.
Ma Fleur
Ma Fleur is a critically acclaimed 2007 studio album by The Cinematic Orchestra, known for its atmospheric blend of jazz, downtempo, and orchestral elements.
-
E.
Fleurie
Fleurie is a renowned Beaujolais cru appellation in eastern France, celebrated for its elegant, floral Gamay-based red wines.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f6d4c08190a12e9a5901ee3508 |
completed | April 14, 2026, 7:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6499c7188190a79411b471cfa7d4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.