Triple
T20672883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M9 motorway (Hungary) |
E508074
|
entity |
| Predicate | isPartiallyOpenToTraffic |
P128647
|
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: [M9 motorway (Hungary), isPartiallyOpenToTraffic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartiallyOpenToTraffic Context triple: [M9 motorway (Hungary), isPartiallyOpenToTraffic, true]
-
A.
openedForThroughTraffic
Indicates that a route or segment is available and accessible for vehicles to pass through (not just for local access), allowing continuous through traffic.
-
B.
openedToPassengerTraffic
Indicates that a transportation facility or route began operating and accepting passengers for regular use.
-
C.
isPartlyOperational
chosen
Indicates that an entity is functioning to some extent but not at full or normal operational capacity.
-
D.
openedToCivilianTraffic
Indicates that a previously restricted or closed route, facility, or infrastructure has been made accessible for use by civilian (non-military) traffic.
-
E.
openedForYearRoundTraffic
Indicates that something has been made accessible and usable for traffic throughout the entire year, without seasonal closures.
- 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_69e0b4c1164881909a3bf1e3ddb2bc32 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5cb1fc88190805f623e93a70368 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.