Triple
T1339549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gostiny Dvor metro station |
E28432
|
entity |
| Predicate | isInTunnelSection |
P18707
|
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: [Gostiny Dvor metro station, isInTunnelSection, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInTunnelSection Context triple: [Gostiny Dvor metro station, isInTunnelSection, yes]
-
A.
hasTunnel
Indicates that one entity possesses, contains, or is connected by a tunnel to another entity.
-
B.
hasTunnelLengthApprox
Indicates that an entity has a tunnel whose length is approximately a specified value.
-
C.
usesTunnel
chosen
Indicates that one entity makes use of a tunnel as a passage or route to reach or connect to another entity.
-
D.
isPartOfRoute
Indicates that something (such as a segment, stop, or step) belongs to and is contained within a larger route.
-
E.
hasTollSegment
Indicates that a route, road, or path includes a segment where a toll must be paid.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c21303c881908fef0b32831222fe |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.