Triple
T37084649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rue Neuve |
E918248
|
entity |
| Predicate | isMajorShoppingAxisOf |
P93567
|
FINISHED |
| Object | Brussels city centre |
—
|
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: Brussels city centre | Statement: [Rue Neuve, isMajorShoppingAxisOf, Brussels city centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorShoppingAxisOf Context triple: [Rue Neuve, isMajorShoppingAxisOf, Brussels city centre]
-
A.
isShoppingDestination
Indicates that a place serves as a primary location where people go to shop for goods or services.
-
B.
isMajorStoreIn
Indicates that a store has a significant or primary presence or operation within a specified location or area.
-
C.
isLargestShopOn
Indicates that a shop is the largest (by a specified measure, such as area, sales, or inventory) among all shops located on a particular street or area.
-
D.
majorOutletOf
Indicates that one entity serves as a primary distribution or sales channel for another entity’s products or services.
-
E.
hasCommercialAxis
chosen
Indicates that there exists a primary direction, route, or area along which commercial or business activities are concentrated or organized.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe68a4b67881909ca1d9f276f922e0 |
completed | May 8, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69fe680234c88190b01f953987b74972 |
completed | May 8, 2026, 10:47 p.m. |
Created at: May 3, 2026, 4:14 p.m.