Triple
T11853533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Street (Zionsville, Indiana) |
E281969
|
entity |
| Predicate | streetscapeFeature |
P45553
|
FINISHED |
| Object | brick-paved sidewalks |
—
|
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: brick-paved sidewalks | Statement: [Main Street (Zionsville, Indiana), streetscapeFeature, brick-paved sidewalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetscapeFeature Context triple: [Main Street (Zionsville, Indiana), streetscapeFeature, brick-paved sidewalks]
-
A.
isPartOfStreetscape
chosen
Indicates that something forms a component or element within the overall layout or visual composition of a streetscape.
-
B.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
C.
hasStreetFurniture
Indicates that a location or area contains installed public fixtures such as benches, lamps, bins, or similar street furniture.
-
D.
laneStructure
Indicates the structural organization and configuration of lanes within a roadway or traffic facility.
-
E.
signpostFeature
Indicates that one entity serves as a signpost-related feature or element associated with 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.