Triple
T20242968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SH 233 |
E498344
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | U.S. Route 50 Business |
—
|
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: U.S. Route 50 Business | Statement: [SH 233, connectsTo, U.S. Route 50 Business]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U.S. Route 50 Business Context triple: [SH 233, connectsTo, U.S. Route 50 Business]
-
A.
U.S. Route 50 Business
chosen
U.S. Route 50 Business is a business loop of U.S. Route 50 that serves local traffic and commercial areas in and around Pueblo, Colorado.
-
B.
U.S. Route 54 Business
U.S. Route 54 Business is a business loop of U.S. Route 54 that serves local traffic and commercial areas in Quay County, New Mexico.
-
C.
U.S. Route 15 Business
U.S. Route 15 Business is a business route of U.S. Route 15 that serves local traffic through the city of Frederick, Maryland.
-
D.
U.S. Route 50A
U.S. Route 50A is an alternate alignment of U.S. Route 50 in Nevada that serves as a major east–west highway through communities such as Fernley.
-
E.
U.S. Route 250 Business
U.S. Route 250 Business is a business loop of U.S. Route 250 that serves local traffic and commercial areas along the highway’s corridor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716f9d248190a145f6883827ebbe |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.