Triple
T4847880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Getreidegasse |
E108335
|
entity |
| Predicate | hasTypeOfShop |
P37662
|
FINISHED |
| Object | fashion boutiques |
—
|
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: fashion boutiques | Statement: [Getreidegasse, hasTypeOfShop, fashion boutiques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfShop Context triple: [Getreidegasse, hasTypeOfShop, fashion boutiques]
-
A.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
B.
hasShopsOn
chosen
Indicates that one entity (typically a street, area, or building) contains or is lined with shops located on or along it.
-
C.
hasOnlineShop
Indicates that an entity operates or is associated with a shop that sells goods or services via the internet.
-
D.
hasShoppingDistrictType
Indicates that an entity is associated with a particular type or category of shopping district.
-
E.
hasBusinessTypeAlong
Indicates that a business or commercial entity located along a route, corridor, or area is associated with a specific type or category of business activity.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2557388190a2d15571bacd24f3 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.