Triple
T25185099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marché aux Fleurs (Nice) |
E630697
|
entity |
| Predicate | hasOutdoorStalls |
P62931
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Marché aux Fleurs (Nice), hasOutdoorStalls, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOutdoorStalls Context triple: [Marché aux Fleurs (Nice), hasOutdoorStalls, true]
-
A.
marketStallsCountApprox
Indicates that the number of market stalls associated with an entity is known only approximately rather than as an exact count.
-
B.
hasTypeOfStalls
chosen
Indicates that an entity features or includes stalls of a particular type or category.
-
C.
hasOutdoorSpaceType
Indicates the specific kind of outdoor area associated with an entity, such as a balcony, terrace, garden, or patio.
-
D.
hasStablingCapacity
Indicates the maximum number of animals or vehicles that a facility can accommodate for stabling or storage.
-
E.
isOutdoorMall
Indicates that a shopping area is an open-air mall, where stores are arranged outdoors rather than within an enclosed building.
- F. None of above.
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_69e75a88fdf081908e47ae6e195c14e1 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f46dc9e8fc8190844984493b19b9b1 |
completed | May 1, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
Created at: April 21, 2026, 12:37 p.m.