Triple
T7572013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Road 50 (Florida) |
E179265
|
entity |
| Predicate | urbanSectionName |
P5397
|
FINISHED |
| Object | West Colonial Drive |
—
|
NE NERFINISHED |
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: West Colonial Drive | Statement: [State Road 50 (Florida), urbanSectionName, West Colonial Drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanSectionName Context triple: [State Road 50 (Florida), urbanSectionName, West Colonial Drive]
-
A.
urbanComponent
Indicates that something functions as a constituent part or element within an urban area or city system.
-
B.
urbanAreaName
Indicates the name assigned to an urban area or city within a given context.
-
C.
urbanDistrictType
Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
-
D.
streetSectionOf
chosen
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
-
E.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f921b458819092e565a4d099bbaf |
completed | March 27, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69c6f4de77048190b8769e717fdcf8e7 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:51 p.m.