Triple
T29668314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edenwald |
E750594
|
entity |
| Predicate | hasStreetCharacter |
P195535
|
FINISHED |
| Object | tree-lined streets |
—
|
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: tree-lined streets | Statement: [Edenwald, hasStreetCharacter, tree-lined streets]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStreetCharacter Context triple: [Edenwald, hasStreetCharacter, tree-lined streets]
-
A.
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.
-
B.
hasStreet
Indicates that an entity is located on, associated with, or identified by a particular street.
-
C.
hasStreetNameElement
Indicates that an address or location includes a specific street name component as part of its full designation.
-
D.
hasStreetFront
Indicates that one entity directly borders or faces onto a particular street along its frontage.
-
E.
hasStreetCircuitCharacteristics
Indicates that something possesses qualities or features typical of a street circuit, such as being laid out on public roads and having characteristics associated with that type of racing venue.
- 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_69f0d62418a08190a401b127adf9f8a6 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69fdd922d73c81908ad3faade247ec16 |
completed | May 8, 2026, 12:37 p.m. |
Created at: April 28, 2026, 7:02 p.m.