Triple
T18321183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Route 3 |
E438881
|
entity |
| Predicate | connectsToHighwaySystem |
P12245
|
FINISHED |
| Object | U.S. Highway System via intersecting U.S. Routes |
—
|
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: U.S. Highway System via intersecting U.S. Routes | Statement: [Pennsylvania Route 3, connectsToHighwaySystem, U.S. Highway System via intersecting U.S. Routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToHighwaySystem Context triple: [Pennsylvania Route 3, connectsToHighwaySystem, U.S. Highway System via intersecting U.S. Routes]
-
A.
connectsToHighway
chosen
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
B.
isPartOfHighwaySystem
Indicates that something belongs to, or is included within, a designated highway system.
-
C.
connectsToInterstate
Indicates that one roadway, route, or location has a direct connection or access point to an interstate highway.
-
D.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
E.
isIntercityHighway
Indicates that a given road segment functions as a highway connecting different cities or urban areas.
- 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50aa5a3508190a3025e71c11d79e2 |
completed | April 19, 2026, 5:02 p.m. |
| PD | Predicate disambiguation | batch_69e44fe4ee10819086b4142444fca1f5 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:36 a.m.