Triple
T36047926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ALDI Nord |
E1042723
|
entity |
| Predicate | hasStoreCount |
P8902
|
FINISHED |
| Object | thousands of stores in Europe |
—
|
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: thousands of stores in Europe | Statement: [ALDI Nord, hasStoreCount, thousands of stores in Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoreCount Context triple: [ALDI Nord, hasStoreCount, thousands of stores in Europe]
-
A.
hasShopCount
Indicates the number of shops associated with a given entity.
-
B.
numberOfStores
chosen
Indicates the total count of stores associated with a given entity or context.
-
C.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
D.
hasTeamStore
Indicates that an entity operates, is associated with, or provides access to a specific team-related retail store.
-
E.
hasNotableStore
Indicates that an entity operates or is associated with a store that is considered notable or significant in some way.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0027e4a59481909417b2531daaf480 |
completed | May 10, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a0026a42bc08190ad3322ce625a523a |
completed | May 10, 2026, 6:33 a.m. |
Created at: May 3, 2026, 4:07 p.m.