Triple
T20672924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M25 motorway (Hungary) |
E508076
|
entity |
| Predicate | isConnectorRoute |
P77852
|
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: [M25 motorway (Hungary), isConnectorRoute, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isConnectorRoute Context triple: [M25 motorway (Hungary), isConnectorRoute, true]
-
A.
isScenicConnectorBetween
Indicates that something serves as a visually appealing route or link connecting two locations or entities.
-
B.
hasConnector
Indicates that one entity is linked or joined to another entity through a connector or connecting element.
-
C.
isRouteOn
Indicates that one route is located on, follows along, or is aligned with another specified path or infrastructure.
-
D.
isRouteFor
Indicates that one entity serves as a path, course, or channel used for traveling, transporting, or connecting to another entity.
-
E.
isMajorConnectorFor
chosen
Indicates that one entity serves as a primary or critical linkage or pathway connecting other entities within a system or network.
- 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.