Triple
T17861219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berger Straße |
E446074
|
entity |
| Predicate | hasLocalSpeciality |
P17971
|
FINISHED |
| Object | Apfelwein |
—
|
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: Apfelwein | Statement: [Berger Straße, hasLocalSpeciality, Apfelwein]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalSpeciality Context triple: [Berger Straße, hasLocalSpeciality, Apfelwein]
-
A.
hasSpecialtyFood
chosen
Indicates that an entity offers, serves, or is associated with a particular type of specialty food.
-
B.
hasLocalCult
Indicates that an entity is associated with a cult or worship practice that is specific to a particular locality or region.
-
C.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
D.
hasSpecials
Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
-
E.
hasSpecialIndulgence
Indicates that one entity grants or possesses a particular privilege, exemption, or favor specifically afforded 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4979013dc8190beb7718f0ba92bc3 |
completed | April 19, 2026, 8:51 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:17 a.m.