Triple
T16353518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | historic center of Toulouse |
E397115
|
entity |
| Predicate | nicknamed |
P744
|
FINISHED |
| Object | La Ville Rose |
E105062
|
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 Ville Rose | Statement: [historic center of Toulouse, nicknamed, La Ville Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Ville Rose Context triple: [historic center of Toulouse, nicknamed, La Ville Rose]
-
A.
La Ville Rose
chosen
La Ville Rose is the affectionate nickname for the French city of Toulouse, referencing its distinctive pink-hued brick architecture.
-
B.
Vieux Paris
Vieux Paris is a celebrated photographic series by Eugène Atget that documents the streets, architecture, and everyday life of old Paris at the turn of the 20th century.
-
C.
Mon Paris
Mon Paris is a modern, fruity-floral women’s fragrance by Yves Saint Laurent Beauté known for its sweet, sensual scent and chic, contemporary Parisian style.
-
D.
Town of Paris
The Town of Paris is a small rural municipality located in Kenosha County, Wisconsin, known for its agricultural landscape and quiet residential character.
-
E.
Cité
Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2faccab748190b11e0808e422f2ea |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db841dc8190bfe8a0d8fca1b309 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.