Triple
T26417044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roulette |
E664124
|
entity |
| Predicate | hasNumberOfPockets |
P178265
|
FINISHED |
| Object | 37 pockets in European roulette |
—
|
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: 37 pockets in European roulette | Statement: [Roulette, hasNumberOfPockets, 37 pockets in European roulette]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfPockets Context triple: [Roulette, hasNumberOfPockets, 37 pockets in European roulette]
-
A.
hasPocketType
Indicates the specific style or configuration of pocket associated with an item or garment.
-
B.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
C.
numberOfHoles
Indicates the count of holes associated with or present in a given entity.
-
D.
hasPit
Indicates that one entity possesses, contains, or is characterized by a pit or hollow space.
-
E.
hasCheekPouches
Indicates that an entity possesses cheek pouches as a physical feature.
- F. None of above. chosen
Provenance (4 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f70e8755a48190931eaa77946f9460 |
completed | May 3, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f70abc00848190a1c3f495ef6c8dc6 |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70e854b9c8190a3416e2189e17742 |
completed | May 3, 2026, 8:59 a.m. |
Created at: April 26, 2026, 11:41 p.m.