Triple
T6709226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Route 134 |
E153087
|
entity |
| Predicate | isFreewayForMostOfLength |
P36405
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [State Route 134, isFreewayForMostOfLength, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFreewayForMostOfLength Context triple: [State Route 134, isFreewayForMostOfLength, true]
-
A.
isFreeway
chosen
Indicates that a given road segment functions as a freeway, typically designed for high-speed, limited-access vehicular traffic.
-
B.
isIntercityHighway
Indicates that a given road segment functions as a highway connecting different cities or urban areas.
-
C.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
D.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
E.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:06 p.m.