Triple
T11891227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Vehicle |
E282917
|
entity |
| Predicate | viewsOtherPathsAs |
P102096
|
FINISHED |
| Object | less comprehensive vehicles |
—
|
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: less comprehensive vehicles | Statement: [Great Vehicle, viewsOtherPathsAs, less comprehensive vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsOtherPathsAs Context triple: [Great Vehicle, viewsOtherPathsAs, less comprehensive vehicles]
-
A.
viewsAliAs
Indicates that one entity holds a particular perception, opinion, or characterization of Ali.
-
B.
viewsClientAs
Indicates that one entity regards or treats another entity as a client within a service, business, or professional relationship.
-
C.
viewsBehaviorAs
Indicates that one entity interprets, judges, or regards another entity’s behavior in a particular way.
-
D.
viewsPerson
Indicates that one person looks at, observes, or watches another person.
-
E.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
- F. None of above. chosen
Provenance (4 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a3f7548190adfb567f060a175a |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb2fca4481909893f3428b0871ac |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:44 p.m.