Triple
T12128750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kuryanovo MCC station |
E288876
|
entity |
| Predicate | hasElectronicDisplays |
P88194
|
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: [Kuryanovo MCC station, hasElectronicDisplays, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectronicDisplays Context triple: [Kuryanovo MCC station, hasElectronicDisplays, yes]
-
A.
hasElectronicsFeature
chosen
Indicates that an entity possesses or is characterized by a specific electronic-related feature or capability.
-
B.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
C.
supportsDisplayTechnology
Indicates that one entity is compatible with, or capable of operating using, a specified display technology.
-
D.
isElectronicVenue
Indicates that a venue operates electronically or online rather than as a physical, in-person location.
-
E.
hasVideoBoard
Indicates that an entity is equipped with or includes a video board (graphics/display hardware 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.