Triple
T24171413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-4 motorway |
E599144
|
entity |
| Predicate | providesAlternativeTo |
P5887
|
FINISHED |
| Object | A-4 motorway |
—
|
NE NERFINISHED |
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: A-4 motorway | Statement: [R-4 motorway, providesAlternativeTo, A-4 motorway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesAlternativeTo Context triple: [R-4 motorway, providesAlternativeTo, A-4 motorway]
-
A.
isAlternativeTo
chosen
Indicates that one entity can serve as a substitute or different option in place of another.
-
B.
replacesOrAlternativesTo
Indicates that one entity serves as a substitute for, or an alternative option to, another entity, potentially taking its place or offering a different choice.
-
C.
alternativeUsedBy
Indicates that one entity serves as an alternative option or substitute that is used in place of another entity.
-
D.
isProprietaryAlternativeTo
Indicates that one entity is a closed-source or commercially restricted substitute for another, typically offering similar functionality under proprietary terms.
-
E.
hasAlternativeMedium
Indicates that an entity is available, expressed, or presented in another medium or format as an alternative to its primary one.
- 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_69e288cbd62881909de32ca64a70c17b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f27c9ddfcc819096697a844b300cce |
completed | April 29, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f1c42f942c8190b103ff29a60fef34 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 17, 2026, 11:33 p.m.