Triple
T11484028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karl-Marx-Platz (Chemnitz) |
E272227
|
entity |
| Predicate | hasNearbyCommercialUse |
P19783
|
FINISHED |
| Object | shops and restaurants in surrounding buildings |
—
|
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: shops and restaurants in surrounding buildings | Statement: [Karl-Marx-Platz (Chemnitz), hasNearbyCommercialUse, shops and restaurants in surrounding buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyCommercialUse Context triple: [Karl-Marx-Platz (Chemnitz), hasNearbyCommercialUse, shops and restaurants in surrounding buildings]
-
A.
hasNearbyLandUse
chosen
Indicates that one land area is located close to another area characterized by a specific type of land use.
-
B.
nearbyUse
Indicates that one entity uses or operates another entity that is located nearby or in close physical proximity.
-
C.
hasMajorCompanyNearby
Indicates that a location or entity is situated close to at least one large or significant company.
-
D.
connectsToCommercialArea
Indicates that one location has a direct link, route, or access path to a commercial area.
-
E.
hasRecreationalUseNearby
Indicates that there is at least one location or facility for recreational activities situated close to the referenced entity.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a1ea00c8190b42cdc13a6bc61c3 |
completed | April 10, 2026, 2:02 a.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.