Triple
T17546628
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akazienstraße |
E427341
|
entity |
| Predicate | hasCulinaryOffer |
P59511
|
FINISHED |
| Object | international cuisine |
—
|
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: international cuisine | Statement: [Akazienstraße, hasCulinaryOffer, international cuisine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulinaryOffer Context triple: [Akazienstraße, hasCulinaryOffer, international cuisine]
-
A.
offersCuisine
Indicates that one entity provides or serves a particular type or style of cuisine to others.
-
B.
haveCuisine
chosen
Indicates that an entity (such as a restaurant or place) offers, serves, or is associated with a particular type or style of cuisine.
-
C.
alsoEats
Indicates that an entity consumes something in addition to another item or items it already eats.
-
D.
offersFoodInLocation
Indicates that an entity provides or serves food at a specified location.
-
E.
offersMeal
Indicates that one entity provides or makes available a meal to another 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e454626cfc8190a2602ba4934b8e6d |
completed | April 19, 2026, 4:04 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:49 a.m.