Triple
T17440707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgstraße |
E424141
|
entity |
| Predicate | isPartOfShoppingArea |
P4285
|
FINISHED |
| Object | Hanover city centre shopping district |
—
|
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: Hanover city centre shopping district | Statement: [Georgstraße, isPartOfShoppingArea, Hanover city centre shopping district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfShoppingArea Context triple: [Georgstraße, isPartOfShoppingArea, Hanover city centre shopping district]
-
A.
isShoppingDistrict
Indicates that a location functions primarily as a shopping district, characterized by a concentration of retail stores and commercial shopping activity.
-
B.
hasShoppingDistrict
chosen
Indicates that a place contains or is associated with a designated area where multiple shops and commercial retail activities are concentrated.
-
C.
shoppingCenterInstanceOf
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
-
D.
hasShoppingDistrictType
Indicates that an entity is associated with a particular type or category of shopping district.
-
E.
hasShoppingDistrictName
Indicates that an entity’s shopping district is identified by a specific name.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ff75538819083f77756d39a1aaa |
completed | April 19, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:46 a.m.