Triple
T12301399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia State Route 231 |
E293231
|
entity |
| Predicate | hasTerminusDirectionA |
P34413
|
FINISHED |
| Object | south |
—
|
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: south | Statement: [Virginia State Route 231, hasTerminusDirectionA, south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTerminusDirectionA Context triple: [Virginia State Route 231, hasTerminusDirectionA, south]
-
A.
hasTerminusIn
Indicates that something (such as a route, line, or path) ends or has its final stopping point at a specified location.
-
B.
terminusDirection
chosen
Indicates the directional orientation or endpoint direction associated with a route, path, or line.
-
C.
hasDirectionType
Indicates that something possesses or is associated with a specific type or category of direction.
-
D.
hasBorderTerminus
Indicates that one entity serves as the endpoint or terminal location of another entity’s border or boundary.
-
E.
hasDirectionFrom
Indicates that one entity has a specific orientation or directional relationship when referenced from another entity.
- 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_69d6ab6a2b50819082f6aedd32ed608a |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f621570819091ee1db2609233ea |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ec02c008190a56aae60a3d9eff6 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.