Triple
T7402895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon Paris |
E170790
|
entity |
| Predicate | hasFlanker |
P39620
|
FINISHED |
| Object | Mon Paris Floral |
E170790
|
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: Mon Paris Floral | Statement: [Mon Paris, hasFlanker, Mon Paris Floral]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mon Paris Floral Context triple: [Mon Paris, hasFlanker, Mon Paris Floral]
-
A.
Mille Fleurs
Mille Fleurs is a historic estate residence located within the Sands Point Preserve on Long Island’s North Shore.
-
B.
Marché aux Fleurs
Marché aux Fleurs is a famous open-air flower market in Nice, France, known for its colorful stalls and traditional Provençal atmosphere.
-
C.
Sunflowers (Paris series)
Sunflowers (Paris series) is a group of still-life paintings of sunflowers by Vincent van Gogh created in Paris in 1887, preceding his more famous Arles sunflower series.
-
D.
Mon Paris
chosen
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.
-
E.
City of Flowers
City of Flowers is a popular nickname for Zamboanga City in the Philippines, highlighting its abundance of vibrant flora and garden-like landscapes.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81110d7648190a8938db7061be454 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.