Triple
T19559760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vieux-Nice |
E489413
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Cours Saleya flower market |
—
|
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: Cours Saleya flower market | Statement: [Vieux-Nice, contains, Cours Saleya flower market]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cours Saleya flower market Context triple: [Vieux-Nice, contains, Cours Saleya flower market]
-
A.
Cours Saleya flower market
chosen
The Cours Saleya flower market is a famous open-air market in Nice, France, renowned for its vibrant daily displays of flowers, local produce, and Provençal specialties.
-
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.
Bloemenmarkt
Bloemenmarkt is Amsterdam’s famous floating flower market, known for its stalls selling tulips, bulbs, and other flowers along the Singel canal.
-
D.
Quảng Bá flower market
Quảng Bá flower market is a famous wholesale and night flower market in Hanoi known for its vibrant atmosphere and abundant fresh blooms.
-
E.
Muristan Market
Muristan Market is a historic bazaar in Jerusalem’s Old City, known for its narrow alleys lined with shops selling souvenirs, religious items, and local goods near key Christian holy sites.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f731ae48190ade295c15db7f8ed |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.