Triple
T26620803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ploshchad Alexandra Nevskogo I |
E668189
|
entity |
| Predicate | hasTransferToStation |
P98214
|
FINISHED |
| Object | Ploshchad Alexandra Nevskogo II |
—
|
NE NERFINISHED |
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: Ploshchad Alexandra Nevskogo II | Statement: [Ploshchad Alexandra Nevskogo I, hasTransferToStation, Ploshchad Alexandra Nevskogo II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTransferToStation Context triple: [Ploshchad Alexandra Nevskogo I, hasTransferToStation, Ploshchad Alexandra Nevskogo II]
-
A.
hasTransfer
Indicates a relationship where something is moved or conveyed from one entity or location to another.
-
B.
hasTransferToService
Indicates that something includes or involves a transfer directed to a particular service.
-
C.
hasInterchangeStationWith
chosen
Indicates that two transportation lines, routes, or systems share a station where passengers can transfer between them.
-
D.
hasTopStation
Indicates that an entity is associated with or connected to a specific station that is designated as its top or uppermost station.
-
E.
isTransferStationWith
Indicates that a station functions as an intermediate transfer point where passengers or goods can switch between different routes, lines, or modes of transport.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f79f48acec8190a9d5964581a94f6c |
completed | May 3, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69f79e4888248190be2f63cdfb5cd7b7 |
completed | May 3, 2026, 7:13 p.m. |
Created at: April 27, 2026, 2:20 a.m.