Triple
T6769563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Гостиный двор |
E155008
|
entity |
| Predicate | hasStationHall |
P73175
|
FINISHED |
| Object | подземный зал колонного типа |
—
|
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: подземный зал колонного типа | Statement: [Гостиный двор, hasStationHall, подземный зал колонного типа]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationHall Context triple: [Гостиный двор, hasStationHall, подземный зал колонного типа]
-
A.
hasStationBuilding
Indicates that a station is associated with or includes a station building as part of its facilities.
-
B.
hasStationHouseLocation
Indicates that a station house is located at or associated with a specific place or geographic location.
-
C.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
D.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
E.
isStationHouseOf
Indicates that a particular station building or facility serves as the designated station house for a given station or transit stop.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d232d1f08190bc30c0f24f28c475 |
completed | March 27, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69c6d094105881909c5806eb4afa6306 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:12 p.m.