Triple
T29109940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Florida State Road 112 |
E736871
|
entity |
| Predicate | expresswaySectionLocation |
P110379
|
FINISHED |
| Object | between Miami International Airport and Miami Beach |
—
|
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: between Miami International Airport and Miami Beach | Statement: [Florida State Road 112, expresswaySectionLocation, between Miami International Airport and Miami Beach]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expresswaySectionLocation Context triple: [Florida State Road 112, expresswaySectionLocation, between Miami International Airport and Miami Beach]
-
A.
highwaySectionName
Indicates the specific name assigned to a particular section or segment of a highway.
-
B.
highwaySegment
chosen
Indicates a road section that forms part of a larger highway route.
-
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.
roadTerminusOf
Indicates that a road ends at, or has its terminal point at, the referenced location or route.
-
E.
expresswayInterchange
Indicates a road connection where an expressway intersects with another road or expressway, allowing vehicles to transfer between them.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661bd27ac81908edcb2a061d45298 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:18 a.m.