Triple
T29109939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State Road 112 |
E736871
|
entity |
| Predicate | surfaceRoadSectionLocation |
P167399
|
FINISHED |
| Object | western end near Miami International Airport |
—
|
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: western end near Miami International Airport | Statement: [Florida State Road 112, surfaceRoadSectionLocation, western end near Miami International Airport]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceRoadSectionLocation Context triple: [Florida State Road 112, surfaceRoadSectionLocation, western end near Miami International Airport]
-
A.
laneSurface
Indicates the type or condition of the surface that makes up a lane used for travel or traffic.
-
B.
streetSectionOf
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
-
C.
positionOnHighway
Indicates that one entity’s location is specified relative to a particular highway, such as being on, along, or at a point on that highway.
-
D.
roadAxis
Indicates a central reference line that defines the primary longitudinal direction or alignment of a road.
-
E.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66a6468ec8190a43ed6cd8c797f42 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
| PDg | Predicate description generation | batch_69f6691da93081909deaf680614fc900 |
completed | May 2, 2026, 9:14 p.m. |
Created at: April 28, 2026, 11:18 a.m.