Triple
T3722769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson |
E81676
|
entity |
| Predicate | hasDigitalDisplays |
P49832
|
FINISHED |
| Object | train arrival information |
—
|
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: train arrival information | Statement: [Wilson, hasDigitalDisplays, train arrival information]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDigitalDisplays Context triple: [Wilson, hasDigitalDisplays, train arrival information]
-
A.
hasDigitalAccess
Indicates that an entity has the ability or permission to use or access digital resources, services, or information.
-
B.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
C.
hasCISDisplays
chosen
Indicates that an entity is equipped with or includes CIS (Customer Information System) display units.
-
D.
displaysFeature
Indicates that one entity presents, shows, or makes visible a particular feature or characteristic of another entity.
-
E.
hasDigitalService
Indicates that an entity provides, offers, or is associated with a service delivered through digital or online means.
- 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_69ad8b1b7ef081908d2d381bbf54985a |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adca9ea1688190b3b8414d77960e8f |
completed | March 8, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.