Triple
T11736968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chekhovskaya metro station |
E279052
|
entity |
| Predicate | isInTunnel |
P40851
|
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: [Chekhovskaya metro station, isInTunnel, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInTunnel Context triple: [Chekhovskaya metro station, isInTunnel, yes]
-
A.
isInTunnelSystem
Indicates that one entity is located within or forms part of a tunnel system associated with another entity.
-
B.
hasTunnel
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
C.
usesTunnel
Indicates that one entity makes use of a tunnel as a passage or route to reach or connect to another entity.
-
D.
isOriginalTunnelOf
Indicates that one tunnel is the initial or primary tunnel from which another tunnel is derived, duplicated, or modified.
-
E.
partOfTunnel
chosen
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
- 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_69d6aaffec6881908bead509e8621742 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4edced48190b7a59dd45921828e |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a7f51248190bf492bd7509b5413 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.