Triple
T2045953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 29 Business (Charlottesville) |
E45451
|
entity |
| Predicate | goesThrough |
P11198
|
FINISHED |
| Object | Charlottesville downtown area |
—
|
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: Charlottesville downtown area | Statement: [U.S. Route 29 Business (Charlottesville), goesThrough, Charlottesville downtown area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goesThrough Context triple: [U.S. Route 29 Business (Charlottesville), goesThrough, Charlottesville downtown area]
-
A.
isPassedThroughBy
chosen
Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
-
B.
passesUnder
Indicates that one entity moves or extends beneath another entity, typically crossing below it without direct contact.
-
C.
goesTo
Indicates that one entity moves or travels from its current location to another specified location or entity.
-
D.
passesThroughFacility
Indicates that something (such as a person, object, or shipment) moves through or is routed via a particular facility as part of its path or process.
-
E.
passesThroughCountry
Indicates that a route, path, or object traverses or crosses within the boundaries of a specified country.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.