Triple
T36194512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R142 |
E1047084
|
entity |
| Predicate | designedForAutomaticAnnouncements |
P131898
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [R142, designedForAutomaticAnnouncements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedForAutomaticAnnouncements Context triple: [R142, designedForAutomaticAnnouncements, yes]
-
A.
hasAutomaticTrainAnnouncements
chosen
Indicates that a transportation system or vehicle provides automated audio or visual announcements about train operations or stops.
-
B.
announcedFor
Indicates that one entity has been publicly declared or made known in connection with, or on behalf of, another entity.
-
C.
announcedInCase
Indicates that a particular announcement or declaration was made within the context of a specific case or legal proceeding.
-
D.
announcedAs
Indicates that one entity is publicly presented, declared, or introduced in a specified role, name, or capacity by another entity.
-
E.
officeOfAnnouncer
Indicates that one entity serves as the workplace or official location associated with a particular announcer.
- 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_69f76e3d4fbc81908c159c7beeb4ce00 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff3b32ee148190a3ba3b7600943fef |
completed | May 9, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69ff3a238af88190a2c2245e30299e48 |
completed | May 9, 2026, 1:44 p.m. |
Created at: May 3, 2026, 4:08 p.m.