Triple
T12153877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marktown neighborhood |
E289525
|
entity |
| Predicate | streetLayoutFeature |
P48747
|
FINISHED |
| Object | streets running through backyards |
—
|
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: streets running through backyards | Statement: [Marktown neighborhood, streetLayoutFeature, streets running through backyards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetLayoutFeature Context triple: [Marktown neighborhood, streetLayoutFeature, streets running through backyards]
-
A.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
B.
urbanLayout
chosen
Indicates how the spatial arrangement, organization, and structure of buildings, streets, and public spaces relate to one another within an urban area.
-
C.
streetOrientedAlong
Indicates that a street is aligned or runs in the same general direction as a specified reference feature or axis.
-
D.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
E.
laneStructure
Indicates the structural organization and configuration of lanes within a roadway or traffic facility.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.