Triple
T11402009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia State Route 9 |
E270130
|
entity |
| Predicate | adjacentStateRouteContinuation |
P82589
|
FINISHED |
| Object | West Virginia Route 9 at the state line |
—
|
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: West Virginia Route 9 at the state line | Statement: [Virginia State Route 9, adjacentStateRouteContinuation, West Virginia Route 9 at the state line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentStateRouteContinuation Context triple: [Virginia State Route 9, adjacentStateRouteContinuation, West Virginia Route 9 at the state line]
-
A.
adjacentStateRoute
chosen
Indicates that one state route is directly next to or shares a boundary or junction with another state route.
-
B.
nextRoute
Indicates that one route directly follows another in a defined sequence or ordering of routes.
-
C.
majorSuccessorRoute
Indicates that one route is the primary or main successor to another route in a sequence or network of routes.
-
D.
adjacentStationOnLine2
Indicates that one station is directly next to another station along line 2 in a transit or rail network.
-
E.
successorLocation
Indicates that one location directly follows or comes after another in a defined spatial or ordered sequence.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| PD | Predicate disambiguation | batch_69d7e70ffd708190b62a78ebcbce9f78 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:34 p.m.