Triple
T12292352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Main Street station |
E292993
|
entity |
| Predicate | hasCustomerServiceInformationScreens |
P3794
|
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: [Main Street station, hasCustomerServiceInformationScreens, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCustomerServiceInformationScreens Context triple: [Main Street station, hasCustomerServiceInformationScreens, yes]
-
A.
hasCustomerInformationScreens
chosen
Indicates that an entity is equipped with screens or displays that present information specifically intended for customers.
-
B.
hasCustomerServices
Indicates that an entity provides or is associated with one or more customer service functions or offerings.
-
C.
hasCustomerAssistanceArea
Indicates that an entity includes or provides a designated area or facility for assisting customers.
-
D.
hasCustomerServiceChannel
Indicates that an entity provides or is associated with a specific channel or medium through which customer service interactions can occur.
-
E.
hasScreen
Indicates that an entity is equipped with or includes a screen or display component.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d22ba488190914342fa7e69e159 |
completed | April 10, 2026, 3:54 p.m. |
| PD | Predicate disambiguation | batch_69d91c4ec6c4819085880bdefdd0f354 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.