Triple
T22793157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Klein-Venedig (Little Venice) |
E564166
|
entity |
| Predicate | hasStreetFront |
P149738
|
FINISHED |
| Object | riverfront promenade |
—
|
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: riverfront promenade | Statement: [Klein-Venedig (Little Venice), hasStreetFront, riverfront promenade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetFront Context triple: [Klein-Venedig (Little Venice), hasStreetFront, riverfront promenade]
-
A.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
B.
hasFrontageRoads
Indicates that a primary road or highway is accompanied by one or more adjacent frontage roads running alongside it.
-
C.
streetFrontageOn
Indicates that a property or parcel directly borders or faces a particular street along at least one of its sides.
-
D.
hasSideStreetCharacter
Indicates that something (typically a location or area) possesses the qualities or atmosphere characteristic of a side street, such as being smaller, less prominent, or more intimate than main thoroughfares.
-
E.
hasStreetLevel
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
- F. None of above. chosen
Provenance (4 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd751f081909c7907c96c9906ea |
completed | April 29, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:30 p.m.