Triple
T37901675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Финляндский вокзал |
E945429
|
entity |
| Predicate | имеетСообщениеС |
P191417
|
FINISHED |
| Object | станция метро «Площадь Ленина» |
—
|
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: станция метро «Площадь Ленина» | Statement: [Финляндский вокзал, имеетСообщениеС, станция метро «Площадь Ленина»]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: имеетСообщениеС Context triple: [Финляндский вокзал, имеетСообщениеС, станция метро «Площадь Ленина»]
-
A.
isCommunicatedDuring
Indicates that one entity (such as information, a message, or content) is conveyed or transmitted in the course of a specified event, process, or time period.
-
B.
hasSocialMessage
Indicates that something conveys, promotes, or is associated with a broader social, ethical, or political message.
-
C.
hasMessenger
Indicates that one entity uses or is associated with another entity as a messenger or intermediary for communication.
-
D.
correspondedWith
Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
-
E.
hasCommunicationType
Indicates that one entity uses, supports, or is associated with a particular form or mode of communication.
- 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_69f76ef20bb0819088b5b6ceecb0b8fc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
| PDg | Predicate description generation | batch_69fcdf22ab8881908b257f16522920c5 |
completed | May 7, 2026, 6:51 p.m. |
Created at: May 3, 2026, 4:20 p.m.