Triple
T9901482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chernyshevskaya metro station |
E182291
|
entity |
| Predicate | hasWallsMaterial |
P91067
|
FINISHED |
| Object | marble cladding in station hall |
—
|
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: marble cladding in station hall | Statement: [Chernyshevskaya metro station, hasWallsMaterial, marble cladding in station hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWallsMaterial Context triple: [Chernyshevskaya metro station, hasWallsMaterial, marble cladding in station hall]
-
A.
hasWallType
Indicates the specific kind or classification of wall associated with an entity.
-
B.
hasWallShape
Indicates that an entity possesses a wall whose form or outline matches a specified geometric or structural shape.
-
C.
hasOuterWall
Indicates that one entity possesses or is surrounded by an external enclosing wall that defines its outer boundary.
-
D.
hasSideWalls
Indicates that an object or structure possesses side walls as part of its physical configuration.
-
E.
hasWallTileColor
Indicates that an entity’s wall tiles possess a specific color.
- 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_69ca82876f8081909cf75df0f99bb13f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4e221448190b536742d1269f9d7 |
completed | April 2, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69cd1d8c584081908b73de75eb18e438 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd3581a9688190a00cef4c3eebb0ae |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:40 p.m.